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Housework robot can learn to do almost any chore in 20 minutes

A robotic assistant can learn to do household jobs like opening cupboards, pulling out chairs or taking a towel off a rail after a bit of training using a stick with an iPhone on it

By Alex Wilkins

15 December 2023

A household robot can learn how to do almost any chore in about 20 minutes when taught by a human using an iPhone camera and a litter picker.

Robots tend to perform well only on specific tasks that they have been trained for, like sorting rubbish or picking up laundry , and can quickly run into difficulty when encountering a task in unfamiliar environments, such as in homes.

Now, Mahi Shafiullah at New York University and his colleagues have created a way to teach robots that involves a litter grabber equipped with an iPhone, a system called the Stick.

Construction robot builds massive stone walls on its own

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Chinese Girl Finds a Way Out of Tedious Homework: Make a Robot Do It

By Daniel Victor and Tiffany May

• Feb. 21, 2019

HONG KONG — Some would say she cheated. Others would say she found an efficient way to finish her tedious assignment and ought to be applauded for her initiative.

The debate lit up Chinese social media this week after The Qianjiang Evening News reported that a teenage girl had found a loophole for her homework: She bought a robot that mimicked her handwriting. Instead of having to manually copy phrases or selections from a textbook dozens of times, a repetitive task common in learning Chinese, she could just teach the robot to do it for her.

On Weibo, a popular social media platform, commenters who had suffered through endless hours of similar homework themselves were split, though most appeared to be sympathetic or even impressed.

“Give her a break. How meaningful is copying anyway?” one commenter asked.

“The difference between humans and other animals is that they know how to make and use tools,” another reasoned. “This young lady already knows how to do this.”

Proficiently reading and writing in Chinese requires knowing thousands of characters. Copying them repeatedly is often seen as a necessary step in learning how to write them. In addition to being tested on individual characters, they may also be asked to transcribe a literary text from memory — an assignment usually dreaded by students.

Like Bart in the opening sequence of “The Simpsons,” students can also be punished by being made to write out texts repeatedly; unlike Bart, they are often ordered to copy whole textbook chapters, not just single sentences. Chinese curriculums in both the sciences and humanities prize rote memorization.

The Chinese newspaper reported that the girl had spent about 800 renminbi, or $120, that she had saved from Lunar New Year presents to buy the robot.

She finished a number of text-copying assignments in two days, much faster than her mother expected, the newspaper reported. The mother discovered — and then smashed — the machine while cleaning the girl’s room, according to the article.

Such technology typically uses robotics to drag a pen across an anchored piece of paper. Some of the products feature preloaded handwriting styles, while some allow users to digitize and copy their own handwriting.

The robots are a modern update to a technology that has long existed. At its most basic level, it’s easy to create custom stamps that replicate a signature. Barack Obama was the first American president to use an autopen to sign legislation , though presidents since Harry Truman have used them for correspondence.

A New York-based company, Bond , uses similar robots to send “handwritten” notes by the thousands. The company says it is “dedicated to recreating the nuance and beauty of human writing.”

It’s also not the first time intrepid Chinese students have found ways to cut corners on their copying assignments.

“Back in the day, we already felt so smug for tying two pens together,” one Weibo commenter said.

Claire Fu contributed research from Beijing.

To revisit this article, visit My Profile, then View saved stories .

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Will Knight

Toyota's Robots Are Learning to Do Housework—By Copying Humans

As someone who quite enjoys the Zen of tidying up, I was only too happy to grab a dustpan and brush and sweep up some beans spilled on a tabletop while visiting the Toyota Research Lab in Cambridge, Massachusetts last year. The chore was more challenging than usual because I had to do it using a teleoperated pair of robotic arms with two-fingered pincers for hands.

Courtesy of Toyota Research Institute

As I sat before the table, using a pair of controllers like bike handles with extra buttons and levers, I could feel the sensation of grabbing solid items, and also sense their heft as I lifted them, but it still took some getting used to.

After several minutes tidying, I continued my tour of the lab and forgot about my brief stint as a teacher of robots. A few days later, Toyota sent me a video of the robot I’d operated sweeping up a similar mess on its own, using what it had learned from my demonstrations combined with a few more demos and several more hours of practice sweeping inside a simulated world.

Autonomous sweeping behavior. Courtesy of Toyota Research Institute

Most robots—and especially those doing valuable labor in warehouses or factories—can only follow preprogrammed routines that require technical expertise to plan out. This makes them very precise and reliable but wholly unsuited to handling work that requires adaptation, improvisation, and flexibility—like sweeping or most other chores in the home. Having robots learn to do things for themselves has proven challenging because of the complexity and variability of the physical world and human environments, and the difficulty of obtaining enough training data to teach them to cope with all eventualities.

There are signs that this could be changing. The dramatic improvements we’ve seen in AI chatbots over the past year or so have prompted many roboticists to wonder if similar leaps might be attainable in their own field. The algorithms that have given us impressive chatbots and image generators are also already helping robots learn more efficiently.

The sweeping robot I trained uses a machine-learning system called a diffusion policy, similar to the ones that power some AI image generators , to come up with the right action to take next in a fraction of a second, based on the many possibilities and multiple sources of data. The technique was developed by Toyota in collaboration with researchers led by Shuran Song , a professor at Columbia University who now leads a robot lab at Stanford.

Toyota is trying to combine that approach with the kind of language models that underpin ChatGPT and its rivals. The goal is to make it possible to have robots learn how to perform tasks by watching videos, potentially turning resources like YouTube into powerful robot training resources. Presumably they will be shown clips of people doing sensible things, not the dubious or dangerous stunts often found on social media.

“If you've never touched anything in the real world, it's hard to get that understanding from just watching YouTube videos,” Russ Tedrake, vice president of Robotics Research at Toyota Research Institute and a professor at MIT, says. The hope, Tedrake says, is that some basic understanding of the physical world combined with data generated in simulation, will enable robots to learn physical actions from watching YouTube clips. The diffusion approach “is able to absorb the data in a much more scalable way,” he says.

Toyota announced its Cambridge robotics institute back in 2015 along with a second institute and headquarters in Palo Alto, California. In its home country of Japan—as in the US and other rich nations—the population is aging fast. The company hopes to build robots that can help people continue living independent lives as they age.

The lab in Cambridge has dozens of robots working away on chores including peeling vegetables, using hand mixers, preparing snacks, and flipping pancakes. Language models are proving helpful because they contain information about the physical world, helping the robots make sense of the objects in front of them and how they can be used.

It’s important to note that despite many demos slick enough to impress a casual visitor, the robots still make lots of errors. Like earlier versions of the model behind ChatGPT, they can veer between seeming humanlike and making strange errors. I saw one robot effortlessly operating a manual hand mixer and another struggling to grasp a bottletop.

Toyota is not the only big tech company hoping to use language models to advance robotics research. Last week, for example, a team at Google DeepMind recently revealed Auto-R , software that uses a large language model to help robots determine the tasks that they could realistically—and safely—do in the real world.

Progress is also being made on the hardware needed to advance robot learning. Last week a group at Stanford University led by Chelsea Finn posted videos of a low-cost mobile teleoperated robotics system called ALOHA. They say the fact that it is mobile allows the robot to tackle a wider range of tasks, giving it a wider range of experiences to learn from than a system locked in one place.

And while it’s easy to be dazzled by robot demo videos, the ALOHA team was good enough to post a highlight reel of failure modes showing the robot fumbling, breaking, and spilling things. Hopefully another robot will learn how to clean up after it.

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इंजीनियरिंग और फिजिक्स,केमिस्ट्री

Robot कैसे बनाएं ? Full Tutorial

January 7, 2023 by admin Leave a Comment

Robot कैसे बनाएं ? बनाने की विधि क्या है या formula information और तरीका ऐसे बहुत से Question आप में से बहुत लोगों से लोगों ने खोजे है ऊपर दिए Search Box पर इस लिए यह Tutorial आप के लिए में लाया हूँ hindi में जिसस आप आसानी से अपने घर पर Robot बना सके सकते है Dc motors का use करके मेरे इस Tutorial को follow करिये बस यह Robot Android phone से Control होगा इसके लिए में आपको एक android आप दूंगा आप use अपने phone में install करियेगा फिर आप अपने रोबोट को अपने phone से control कर पायेंगें Robot बनाने की steps-

• Robot बनाने लिए सबसे पहले material इकठ्ठा करें
• फिर दूसरी step से Circuit बनाएं
• Computer से Arduino में Programming करें
• सभी parts जो जोड़ें

Working यह Robot android Bluetooth से  Control होगा और android app जो मेने बनाया है  उसे Download करें और  Connect करें robot से अब जब आप run button press करेंगे तो वह आगे बड़ेगा और left press करने पर एक motor की speed कम और एक की ज्यादा होगी जिससे वह turn हो जायेगा   

Robot बनाने के लिए हमे ये सब सामान चाहिए होगा

• Arduino uno
• Hc-06/Hc-05 Bluetooth
• Robot Chassis
• पहिये और Dc Motors
• L298 Driver Board
• Jumper wires
• Battery 12v

Robot बनाने के लिए ऊपर दिया material आप इस page से खरीद सकते है – Robot के लिए सामान खरीदें

• Arduino क्या है ?
• Hc-06 क्या है ?
• L293d Motor Driver क्या है ?

Robot के लिए Circuit बनाएं

• L298 की ENA Pin को Arduino uno की 12 से jumper wire से जोड़ें
• L298 की ENB Pin को Arduino uno की 6 से
• L298 की in1 Pin को Arduino uno की 11 से
• L298 की in2 Pin को Arduino uno की 10 से
• L298 की in3 Pin को Arduino uno की 9 से
• L298 की in4 Pin को Arduino uno की 8 से
• hc-06 की rx-tx को arduino की 2,3 से जोड़ें
• hc-06 की vcc को arduino की 5v से
• hc-06 की gnd को arduino की gnd से

chassis में wheels set कर दें और अब इस Circuit को chassis के ऊपर रख दें

Robot के दिमाग के लिए Computer से Programming

सबसे पहले Arduino uno को अपने Computer से connect करें और Arduino का Software Download करके launch करें Program Download करें फिर Program upload करें

• Arduino Software Download करें
• Program Download करें
• Program को Arduino में Upload कैसे करें

Robot को Control करने के लिए Android app Download करें

Robot बनाने की सभी Steps आपने clear कर ली है अब आप इस app को Download करके अपने Android phone में Install कर लीजिये और Connect button पर Click करें और hc-06 choose करें अब आप left right button press कर सकते है Download Apk I Hope आपका Robot Properly Work कर रहा होगा इस Project को share जरूर करें अपने friends के साथ नीचे Button है और बनाने में कोई problem आ रही हो तो comment में जरूर बताएं और ऐसे Projects पाते रहने के लिए subscribe करें

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सोशल मीडिया पर जुड़ें

बनाना सीखें.

• ड्रोन कैसे बनाएं ?
• रोबोट कैसे बनाएं ?
• वेबसाइट कैसे बनाएं ?
• एंड्राइड एप कैसे बनाएं ?
• Mechanical Notes
• Electrical Notes
• भौतिक विज्ञान
• इलेक्ट्रॉनिक इंजीनियरिंग
• रसायन विज्ञान
• जीव विज्ञान
• कंप्यूटर सीखें
• इंजीनियरिंग प्रोजेक्ट्स
• ऑटोकैड टुटोरिअल

Robot क्या है और कैसे काम करता है?

आज की पोस्ट बहुत ख़ास है क्यों की आज हम अनोखा technology के बारे में बात करने वाले है, रोबोट क्या है (Robot in Hindi) और ये कैसे काम करता है? और ये भी जानेंगे के ये कितने तरह के होते है.

इस तरह के सवाल अक्सर लोग किया करते है. कुछ तो ये भी जानना चाहते हैं की क्या ये सचमुच इंसान की तरह काम कर सकते हैं? फिल्मों में तो रोबोट को बहुत एडवांस रूप में दिखाया जा चूका है. तो क्या अभी उस तरह के रोबोट वैज्ञानिको ने बना लिया है?

सायद ऐसा कोई होगा जो के robots के बारे में सुना नहीं होगा. लग भाग हर ब्यक्ति इसके बारे में कहीं ना कहीं से सुने है, पर बहुत कम होंगे जो इसके बारे में ज्ञान रखते है.

आज की इस लेख में इस तरह के सारे सवालों का जवाब आपको मिलेगा, तो अब आप जानेंगे Robot क्या होता है की जानकारी हिंदी में.

रोबोट क्या है (What is Robot in Hindi)

Robot एक तरह की मशीन है जो खास तौर पर कंप्यूटर के द्वारा डाले गए प्रोग्राम या निर्देशों के आधार पर काम करता है. यह कई मुश्किल भरे कामों को सरलता से अपने आप करने में सक्षम होता है.

रोबोट मैकेनिकल , सॉफ्टवेयर और इलेक्ट्रॉनिक इंजीनियरिंग के मिश्रण से मिलकर बना हुआ होता है. इसमें सभी का रोल लगभग एक समान ही होता है.

Definition of Robot in Hindi रोबोट एक मशीन है जो इस तरह से निर्मित होता है की एक से ज्यादा कामों को खुद ही एक गति और शुद्धता के साथ पूरा कर सकते हैं.

कुछ रोबोट को नियंत्रित करने के लिए external control डिवाइस का प्रयोग किया जाता है और बहुत से रोबोट में नियंत्रण करने के लिए उसके अंदर ही control डिवाइस लगा हुआ रहता है.

• Artificial Intelligence क्या है और कैसे काम करता है
• वर्चुअल रियलिटी क्या है
• माउस क्या है और कितने प्रकार के है

इनका का shape और size से कोई लेना देना नहीं होता है. जो मनुष्य के जैसा हूबहू दीखता है उसी को रोबोट बोलते हैं ये बात बिलकुल गलत है. ये किसी भी रूप का हो सकता है. ये उसके काम पर निर्भर करता है.

क्यों की वैज्ञानिक जैसा काम लेना होता है उसी आकृति में बनाते हैं. अगर इंसान जैसे दिखने वाले रोबोट ही बनाये जाये तो फिर वो इंसानो जैसे ही काम करेंगे ना?

जबकि ये तो बहुत बड़े बड़े आकर के भी बनाये जाते हैं जो heavy इंजीनियरिंग यानि बड़े आकर के मशीन को बनाने के लिए काम में लाये जाते हैं.

उदाहरण के लिए मैं खुद की कंपनी के बारे में बताता हूँ जहाँ की मैं जॉब करता हूँ. मेरी कंपनी एक ऑटोमोबाइल कंपनी है यहाँ 2 wheelers और 4 wheelers के body parts बनते हैं.

बड़े और छोटे पार्ट्स को वेल्डिंग करके बड़ी assemly बनायीं जाती है जो आप car में देखते हो। वो कई छोटे बड़े पार्ट्स से मिलकर बना हुआ होता। इन छोटे-बड़े पार्ट्स को कौन जोड़कर बड़े पार्ट्स में बदलते हैं ?

जी हाँ सही सोचा आपने ! रोबोट।

तो आप ये तो समझ गए होंगे की रोबोट सिर्फ इंसानो जैसे आकृति वाले मशीन को ही नहीं बल्कि बड़े बड़े स्वचालित मशीन को भी रोबोट ही बोलते हैं.तो चलिए अब बात करते हैं की आखिर ये काम कैसे करते हैं.

रोबोट कैसे काम करता है (How does a Robot Work)

रोबोट का मतलब क्या है ये तो आपको समझ आ गया होगा. रोबोट में हर तरह के काम करने के लिए अलग अलग मशीन लगायी जाती है. इसमें 5 मुख्य पार्ट्स होते हैं इसको काम करवाने के लिए.

• Structure Body
• Sensor System
• Muscle System
• Power Source
• Brain System

किसी भी रोबोट में हरकत करने वाले physical structure होते हैं. जिसमे की एक तरह का मोटर, sensor system, power देने लिए source, computer brain होता है जो की पुरे बॉडी को नियंत्रित करता हैं.

Robots piston का प्रयोग करते हैं जो की उन्हें अलग अलग दिशाओं में चलने में मदद करते हैं. इसके brain में प्रोग्राम बना कर डाला हुआ होता है. उसी के अनुसार robot brain, body को संचालित करता है.

ये लिखे हुए प्रोग्राम के आधार पर ही काम करता है और चलता है. दूसरी काम करने के लिए प्रोग्राम को फिर से लिखकर बदला जाता है.

सभी रोबोट्स में sensor नहीं होता है. किसी robot में तो सुनने , सूंघने के लिए भी सेंसर लगा हुआ रहता है.

रोबोट कितने तरह के होते है (Types of Robot in Hindi )

अभी तक आप समझ ही गए होंगे की रोबोट क्या है और अब जानेंगे की रोबोट कितने प्रकार के होते है. वैसे तो ये बहुत तरह के होते हैं लेकिन उनको उनके काम के आधार पर और उनकी तकनीक के आधार पर अलग अलग भागों में बांटा जाता है.

सबसे पहले मैकेनिज्म यानि यांत्रिकी के आधार पर प्रयोग होने वाले रोबोट के बारे में जानते हैं.

• Mobile spherical
• Stationary Robots

इस तरह के रोबोट्स एक ही जगह फिक्स्ड किये हुए होते हैं. ये अपना सारा काम एक ही जगह पर करते हैं. इनकी पोजीशन और मूवमेंट की दिशा फिक्स की हुई होती है और बस उसी स्थिति में उन्हें काम करने के लिए बनाया जाता है.

जैसे वेल्डिंग, ड्रिलिंग,और ग्रिप्पिंग के काम करने वाले रोबोट्स स्टेशनरी रोबोट्स होते हैं. तो चलिए जानते है रोबोट का उपयोग.

Legged Robots

रोबोट की दुनिया में जब wheeled रोबोट्स की पकड़ काफी मजबूत गई तब वैज्ञानिको ने इसकी जगह इससे भी अच्छा विकल्प बनाने के लिए काफी मेहनत किया जिससे की इसकी कुछ सीमायें होती हैं वो ख़तम हो जाये। जैसे wheeled रोबोट को काम करना है तो वो सिर्फ समतल सतह में ही काम कर सकता है.

Wheel रोबोट सीढियाँ नहीं चढ़ सकता है लेकिन अगर उसमे पैर लगा दिए जाएँ जरूर चढ़ जायेगा। किसी मशीन में पैर लगा के उससे काम करवाना काफी है. लेकिन जिस तरह इंसान के एक बचे को चलना सिखने 1 – 2 साल लग जाता है तो फिर क्या एक रोबोट के पैर लगाकर उससे चलवाया जा सकता है?

जी हाँ ये भी संभव हो चूका है. बहुत से ऐसे रोबोट्स हैं जो चलने भी लगे हैं.

इस तरह के रोबोट्स किसी भी वातावरण में और उबड़ खाबड़ सतह में चल सकने में सक्षम होते हैं.

Wheeled Robots

Wheeled रोबोट्स वैसे रोबोट्स जो सतह पर व्हील्स के सहारे चलते हैं. इस तरह के रोबोट्स का को बनाना , प्रोग्रामिंग करना और डिज़ाइन आसान होता है leged तुलना में। लेकिन ये सिर्फ समतल सतह पर चल सकते हैं.

Swimming Robots

रोबोट fish एक पानी में swim करने वाला रोबोट है. जिसकी आकृति और तैरने का तरीका एक मछली के जैसा ही होता है. 1989 में पहले MIT यूनिवर्सिटी द्वारा Swimming रोबोट्स के ऊपर रिसर्च को सबके सामने लाया था.

Flying Robots

Flying रोबोट्स ऐसे रोबोट्स हैं जो उड़ने में सक्षम होते हैं. इसमें छोटे आकार और बिना मानव वाले रोबोट्स भी होते हैं जो की कई सारे काम कर सकते हैं. इस तरह के रोबोट्स search और rescue मिशन में काम आते हैं. ये किसी भी प्राकृतिक विपदा में फंसे लोगों की तलाश भूमि के बड़े क्षेत्रों में आसानी से कर सकता है.

Swarm Robots

छोटे छोटे रोबोट्स मिलकर जब एक बड़े सिस्टम काम करते हैं तो इसे swarm रोबोट्स बोला जाता है. बहुत सारे रोबोट्स की जो काम करने की क्षमता होती है वो वो इनके आपस और पर्यावरण के साथ इंटरएक्शन के आधार पर होती है.

Mobile Spherical Robots

Spherical रोबोट्स को Mobile Spherical रोबोट्स कहा जाता है. ये सतह पर रोल कर के या लुढ़क कर मूव करते हैं.

अब चलिए जानते हैं की काम करने के आधार पर रोबोट्स कितने तरह के होते हों.

Domestic Robots

वैसे रोबोट्स जो घर के अंदर इस्तेमाल किये जाते हैं. जैसे vacuum cleaners, sweepers, gutter cleaners, etc.

Medical Robots

Medical की दुनिया में इनका इस्तेमाल बहुत अहम् हो चूका है. एक से एक रोबोट्स का इस्तेमाल किया जा रहा है. आजकल तो रोबोट की मदद से डॉक्टर कृत्रिम रोबोटिक्स हाथों का इस्तेमाल कर के ऑपेरशन भी कर रहे हैं .

और मेडिकल की दुनिया में ये एक क्रांति के रूप में उभरा है क्यों की डॉक्टर दूर रहकर भी लोगों के जान बचा लेते हैं.

Military Robots

Military में उसे किये जाने वाले रोबोट्स काफी मददगार होते हैं। ये सुरक्षा के लिए भी काम में लाये जाते हैं। ये ऐसी जगहों में आसानी से जा सकते हैं जहाँ इंसानो का जाना मुश्किल होता है. ये किसी भी एरिया में जाकर दुश्मनो का ठिकाना ढूंढने में कारगर होते हैं.

Space Robots

International स्पेस स्टेशन में बहुत सारे काम रोबोट्स के सहारे ही किया जाता है. मंगल गृह में भी Rover नामक रोबोट को ही भेजा गया है.

Industrial Robots

आज दुनिया के हर हिस्से में आम ज़िन्दगी में इंसानो द्वारा जरुरत की इस्तेमाल होने वाली चीज़ों को बनाया जाता है. हर तरह की खाने की चीज़ें, पहनने के लिए कपडे, गाडी जैसी बहुत सी चीज़ें हैं जो बनायीं जाती हैं इंडसट्रीज़ में. और इन इंडस्ट्रीज में भी रोबोट्स का ही प्रयोग किया जाता है.

अब आप अलग अलग प्रकार के रोबोट के बारे में तो जान चुके हैं.

दुनिया में अलग अलग तरह के उपयोग के आधार पर रोबोट बन चुके हैं. अभी हाल ही में cheetah नामक रोबोट के तीसरे संस्करण को बनाकर दुनिया के सामने लाया गया है. ये बिलकुल चीते के समान ही तेज़ है और ये उछलने , कूदने और हर तरह के चलने और दौड़ने में माहिर है. ये जानवर के जैसे रोबोट में सबसे विकसित रोबोट में से एक है.

इंसान की तरह दिखने वाले रोबोट में भी काफी विकसित रूप बनाये जा चुके हैं,जो बिलकुल इंसानो की तरह दिखने के साथ ही चलने, उठने ,बैठने और काम करने में माहिर होते हैं. यहाँ तक की Honda द्वारा बनाया गया ASIMO फुटबॉल को लात भी मारने में माहिर है.

आज आपने क्या सीखा

तो दोस्तों आज आप रोबोट क्या है (Robot in Hindi) से जुड़ी बहुत सारी जानकारी जान चुके हैं अगर आपके में किसी भी तरह का सवाल हो तो आप पूछ सकते हैं. और अगर ये पोस्ट अच्छी लगी हो तो इसे ज्यादा से ज्यादा शेयर करे.

About the Author

WASIM AKRAM

हेलो Friends मैं वसीम WTechni.com का Chief Author और Founder हूँ. वैसे मैंने Engineering किया है लेकिन Blogging मेरा Passion है.हर रोज़ Technology से Related नई नई चीज़ें सीखना और दुसरो तक पहुँचाना मेरी hobby है. अगर आप भी चाहते हैं की हर रोज़ कुछ नया सिखने को मिले तो आप इस ब्लॉग से जुड़े रहे.

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हम इंसानो की तरह बोलने वाला रोबोट बनाना सीखना चाहते प्रॉब्लम ये है की हम कहा से और किससे सीखे, प्लीज सर हेल्प में

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Moscow Legal Tech’s Holger Zscheyge: a Lawyer Replaced by Robot Is Less Probable Than a Lawyer Replaced by Another Lawyer With Better Technology

As our knowledge of robotics and machine learning evolves, automation advances into a variety of aspects in our daily lives and jobs. Soon, AI will be able to get to even the most complicated, abstract, and responsible tasks traditionally available only to humans. One of such complicated cases is the adoption of AI-based solutions in legal practice. To some extent automation was present in legal practice for some time now, as the first technological solutions for lawyers were available since the 70s. However, back then such solutions weren’t anything like the tech of today. Or were they?

Delving deeper into the matter of AI-lawyers and AI-judges, lawless.tech reached Holger Zscheyge, a professional legal publisher, legal tech and law firm strategy expert, a prominent speaker, and one of the co-organizers of Moscow Legal Tech, the first specialized conference on legal tech in Russia.

lawless.tech: First, what inspired you, a publishing professional, to dive into legal tech? Were there other grand ideas competing for your commitment?

Holger Zscheyge: Lawyers are my main customers as a publisher. So I am interested that they stay relevant in the 21st century. And legal information alone doesn’t cut it anymore to stay relevant. I started to read the books by thought leaders like Richard Susskind, Mitch Kowalski or Bruce MacEwen about the changing environment for legal services. But the real starting point has been a revelation in 2015. Our colleagues at the “Legal Insight” magazine organize an annual forum for the heads of legal departments of Russian companies. You have to come up with new topics every year, so in 2015 we decided to conduct a survey, together with PwC Legal, about the use of technology for business processes in legal departments. About 500 departments took part in the survey. Long story short – back then 70% of legal departments in Russia used solely Microsoft Office for the automation of their processes. In 2015 that’s a total disgrace for the profession. So we decided to set up a panel discussion about legal technology at the 2015 forum, a totally new topic back then. This discussion turned out to be the hit of the forum, so we asked ourselves “Why not organize a conference around legal tech?” In 2016 Moscow Legal Tech was the first conference in Russia on the issue. The rest is history. In 2017, barely a week went by without some legal tech event. In the most recent survey only 10% of Russian legal departments stated that they use only Microsoft Office for automating their processes.

As I said, the grand idea is to keep lawyers relevant (so they can earn money and buy my products). That is what I am committed to. Technology is only a part of it, together with new management methods, business development skills, process optimization and service promotion and delivery. It’s the package that makes the difference.

lawless.tech: This year you’ve co-organized the third Moscow Legal Tech conference. What were the hottest topics presented? What were the most popular or interesting questions brought up?

Holger Zscheyge: We are traditionally strongly oriented on processes. This is the first step is to analyze and understand your processes. Only after this you can start with automation. So we build Moscow Legal Tech around fundamental ideas and show how to implement them by using technologies. This year we emphasized on topics like innovation, legal operations, cybersecurity, compliance, blockchain and data science. The technology part was covered by a vendor ally and an elevator pitch session of legal tech startups. The whole topic of artificial intelligence was split out into a separate conference on April 6, which we co-organized together with the Skolkovo Technopark. The most pressing (and interesting) questions are always around the practical implementation of process automation and optimization. About 75% of the attendees are from legal departments. For them, blockchain and smart contracts are nice to know, but the automation of contract review or claim filing is need to know. That’s the tasks heads of legal are faced at the moment.

lawless.tech: Why did you choose to work in the Russian market, if there are such active legal tech hubs as the US’ Silicon Valley, the UK, and Germany? What can you say about the local legal tech community?

Holger Zscheyge: The decision to work in the Russian market has been made long before the decision to explore legal tech. I came to Russia in 1996 to work for Wolters Kluwer, a large multinational publishing company. Since then I never looked back. Sure, the US, UK and Germany are the three largest markets for legal services in the world. Therefore, competition is strong and talent is rare, especially in the valley, where giant corporations pick the best developers off the market. As I see it, we have a “golden triangle” of highly educated and capable developers in Russia, Ukraine and Belarus. You can start with an idea and comparable low investment, make it into a product that you sell on the local market, and then scale it to conquer Western markets. There are already cases of startups that have followed that path – Pravo.ru (case.one) from Russia and PatentBot from Ukraine.

As for the dynamics – I don’t see a substantial difference between the dynamics in Western and Eastern Europe. To an extent things are even more dynamic in Russia and Ukraine right now. In mid-May a team from Legal Geek (the organizer of the largest legal tech conference in Europe) and Nextlaw Labs came to Moscow to listen to pitches from 15 startups (14 from Russia, one from Ukraine) on their tour around the world to find the best legal tech startups. That’s double the amount of startups they saw at the next stop, Singapore. And they have been blown away by the variety of ideas in our markets.

lawless.tech: Typically, automation in almost any area eliminates workplaces or at least forces people to learn new skills to keep up with the job market. In this respect, what is the situation in legal practice?

Holger Zscheyge: That’s what happens, when new technologies enter the economy. Whole sectors of the economy undergo dramatic changes. Some people lose their jobs, the workforce in general has to learn new skills. This happens faster and faster – some 100-200 years ago you could hold a job for your entire life with the same skill set. Today you will be out of a job if you do not improve your skills for a couple of years. As the great Alvin Toffler said “The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn”.

In general, new technologies improved the life of everybody. For instance, in the 80’s of the 19 th century, almost 80% of the American population was employed in agriculture. Back then it was hard, hard labour. Today, only about 3% of Americans are employed in agriculture. It is still hard work, but instead of toiling on a field, you sit in an air conditioned combine that is maneuvered by software and GPS, and operated with a joystick. Productivity is much, much higher today. And most the remarkable drop in employment in agriculture didn’t destroy the American economy or society. Society and governments have to take care of those that become victims of tectonic shifts on the labour market, by providing job alternatives, training and, where this doesn’t help, some form unconditional basic income.

Of course, technologies will change the playing field for legal services as well. If it was enough to be a good lawyer in order to be successful in the legal services industry, you now have to be proficient in business process optimization and technology as well. It’s like a three-legged stool – if one leg is missing, you can’t’ sit comfortable.

But in general technologies will make the work of lawyers more interesting. According to McKinsey, 23% of a lawyer’s tasks can be automated with existing technologies. And these are normally tasks that are delegated to paralegals and junior lawyers – dreadful repetitive jobs like sifting through thousands of pages of documents during a due diligence. Instead of spending months of the time of humans on those tasks, technology tools can do the job in seconds. Lawyers will spend their time on more valuable and intellectually stimulating work.

lawless.tech: Evidently, legal technology solutions are already taking over the paralegals’ jobs, such as document discovery, complaint processing, or looking for precedents. Will such solutions eventually replace people in more complex and “human” professions such as lawyers or even judges?

Holger Zscheyge: In 2013, Carl Benedikt Frey and Michael A. Osborne of Oxford University published a report titled “The Future of Employment: How susceptible are jobs to computerisation?”. Frey and Osborne tried to predict the probability with which humans will be replaced by robots in various professions. The probability for paralegals is indeed very high, 94%. That’s because paralegals are handed predominantly repetitive, relatively easy tasks. Jobs, that can and will be taken over by technology. The probability of lawyers being replaced entirely by algorithms is only 3.5%, very low indeed. The probability for judges is somewhere in between – 40%. But a machine without empathy cannot make a fair decision in a complex legal dispute, or where law collides with common sense. A human judge would not hand a sentence to somebody for violating traffic regulations because a sick child had to be delivered to the hospital as quickly as possible. What algorithms can do is unbiasedly decide high volume matters where the decision is only a technical issue. This would greatly decrease the pressure courts are under all over the world and expedite the delivery of justice.

I think that a lawyer replaced by robot is less probable than a lawyer replaced by another lawyer with better technology. That’s what we all should focus on.

lawless.tech: AI is one of the most promising aspects of our technological progress. It is paving its way into legal tech as well. There is an opinion that a robotic judge would have no empathy to the defendants. On the other hand, most people think that an AI judge would also be completely unbiased. Do you think that robotic judges need such a human trait as empathy to make fair decisions? Simply put, will the AI judges be an idealistic manifestation of the blind justice or an insensitive scourge punishing without hesitation?

Holger Zscheyge: Let’s all calm down for a moment. The instant you start talking about AI in the legal profession, everybody is discussing robo-lawyers, robo-judges and robo-legislators. We tend to go from the top, assign the most sophisticated legal jobs to artificial intelligence. I may be wrong, but I am pretty sure that everybody who reads this interview will not live to see an AI with that capability. But there are millions of cases where a sufficiently advanced artificial intelligence might help speed up the delivery of justice in the near future. Courts all over the world are swamped with cookie-cutter cases, where it is relatively easy to get to a just decision. And you do not need empathy to resolve them. There might be one in ten thousand traffic violation cases, where someone ignored speed limits to deliver a sick child or an expecting mother to the hospital. For this, you need a human to make a fair decision. The other cases are just what they are – violations of the law, and the defendant should be punished according to the law.

Humans are flawed, but that is what makes them human. I don’t think that we need an army of Judge Dredd’s, even if they are incorruptible, unbiased and with all the necessary legal knowledge. What we need is a better way to serve justice quick and at an affordable price to society. And if artificial intelligence can help, and if humans still have a choice whom to trust with the delivery of justice, then let it be. At a recent event about data science at Yandex a speaker, who talked about the possibility of robo-judges, asked the audience whom they would trust more with deciding a legal case. The majority voted for the robo-judge.

lawless.tech: Do you think that legal tech products are currently more demanded by legal professionals or, on the contrary, by their clients? How will this trend change in the future?

Holger Zscheyge: Let’s start with fixing the wrong perception of lawyers, that clients are looking for a legal professional. They are looking for a solution for their legal problems. Furthermore, they want three things: 1) transparent and predictable prices, 2) high quality of work, and 3) excellent customer service. That’s all. And if that can be achieved faster by implementing technologies, then clients will demand that lawyers use those legal tech products. That is already happening in the B2B sector. Legal departments demand explicitly that law firms are deploying legal tech, otherwise they will lose work. The general public will follow, or pivot to alternative service providers. Look at the industry around “airline compensations”. Technology-based providers found a way to make suing an airline for a compensation of € 250 on average profitable for both sides. This is now a six billion Euro market annually. I hope that law firms realize the threat, and the potential, and catch up with technologies soon.

lawless.tech: What does the “traditional” legislative apparatus think about this ongoing technological intervention into legal practice? Is there a need for additional rules to regulate the usage of legal technology? Are there any attempts to do so?

Holger Zscheyge: We already have a decent framework of regulations for the legal services industry in most developed countries. Technologies are mere tools for professionals, and if the work of those professionals is sufficiently regulated, then we do not need to regulate the tools as well. Nobody would regulate the use of a fax machine either. There will be new aspects to the work arising out of new technologies, like data privacy or cybersecurity. Those aspects need to be regulated independently of the technologies used.

What might help the proliferation of legal technologies are regulations or recommendations by governing bodies of the legal profession to use technology. One example is Rule 1.1 of the American Bar Association, requiring that “a lawyer should keep abreast of changes in the law and its practice, including the benefits and risks associated with relevant technology”.

Legislators might have to catch up with laws that enable new technologies, set the legal framework for technologies like blockchain to work in real use cases. Another important issue where legislators can help is the open access to data. Governments are the owners of huge amounts of data (data on individuals and corporations, financial data, court decisions, etc.). Open access to that data will hugely impact the development of legal technology.

lawless.tech: How would you evaluate the legal tech industry as of today? What were the earliest attempts in this area? What are the most notable projects out there? What do you think about its future?

Holger Zscheyge: Legal professionals using technology to become more efficient is not a new phenomenon. LexisNexis, the research tool no American lawyer can live without, was founded in 1970. German practice management software AnNoText was released in 1978. Even on the post-Soviet territories legal databases appeared as early as 1990. But a real boom legal tech experienced in the years after the global financial crisis in 2008. Cash-strapped corporate clients decreased their legal budgets, transferred legal work in-house in order to slash costs. This could be achieved only by applying technologies. So the demand rose for everything that made legal processes more efficient. Together with that trend the falling prices for IT infrastructure made it possible to start technology-intensive SAAS projects like marketplaces or online document assembly software. These projects were meant to improve access to justice and legal advice for those who can’t afford it at the regular prices.

Notable projects are LegalZoom, Avvo and Rocket Lawyer that made legal help more accessible and affordable. Clio is a good example in the practice management domain. Lex Machina made waves when they were acquired by LexisNexis. Today there are quite a number of projects already that became “household names” in the legal profession.

In my opinion, when we go past the hype about legal tech in the last 2 years, the future will be rather bright. There is a demand for technologies that make lawyers’ work more efficient and affordable. As long as legal tech developers provide the right solutions at the right price, lawyers will buy them. In our surveys with PwC Legal money, or the lack thereof, has never been the main reason legal departments did not buy technologies. The main reason has been that existing solutions didn’t sufficiently meet the specifications of the departments. So there is potential in the market. The US market for legal tech alone is estimated to have a potential of 16 billion US-Dollars annually (total accessible market). Only 3 billion of that materialize in sales, or less than 20%.

Another huge potential lies in making legal help more affordable to citizens and small and medium sized (SME) businesses. Over 80% of US citizens cannot afford legal services at the present cost. Only 13% of SME business owners in the UK consider the prices for legal services to be adequate, and they have legal problems in the amount of £100 billion annually. 70% of Germans do not use the services of lawyers because the pricing is not transparent enough. Take the example with the airline compensation market – nobody will spend € 400 to receive a € 250 in compensation. The moment someone started to use technology to offer a no-risk deal for 25% of the compensation, a new market was created.

For over 40 years lawyers all around the globe have been utilizing numerous technological solutions to get their jobs done faster and better. Evidently, the fears that tomorrow, if not today, their jobs will be taken away altogether by perfectly unbiased sentient machines are somewhat unreasonable.

In the next decades, legal tech tools will most likely remain mere tools, though increasingly more sophisticated. The introduction of AI-based solutions, in its turn, will make legal tech smart, but the real human lawyers and judges will remain at the helm. Nevertheless, the tech on the legal professionals’ table is a must-have in this rapidly advancing industry.

Follow us on  Twitter  to stay tuned on the recent developments in regulation of new technologies, and be the first to read expert opinions and interviews.

Krzysztof Shyak

After studying zoology and scientific translation at the uni, Krzysztof Shyak began writing about startups, investment and technologies. Considers blockchain technology among the most powerful tools available to bring the intellectual, economical, and physical freedom to an individual.

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• अन्वेषण करें हमारे बारे में समुदाय विविध लेख श्रेणियाँ
• श्रेणियाँ (categories) खोजें
• विकिहाउ के बारे में
• लॉग इन/ खाता बनाएं
• कंप्यूटर और इलेक्ट्रॉनिक्स

कैसे घर पर रोबोट बनायें (Kaise, Kare, Robot)

विकीहाउ एक "विकी" है जिसका मतलब होता है कि यहाँ एक आर्टिकल कई सहायक लेखकों द्वारा लिखा गया है। इस आर्टिकल को पूरा करने में और इसकी गुणवत्ता को सुधारने में समय समय पर, 63 लोगों ने और कुछ गुमनाम लोगों ने कार्य किया। यह आर्टिकल २,४८,९५८ बार देखा गया है।

क्या आप सीखना चाहते है कि खुद का रोबॉट कैसे बनायें? यहाँ विभिन्न प्रकार के रोबोट ऐसे है जिन्हें आप स्वयं बना सकते हैं। अधिकतर लोग उनके रोबोट से सामान्य कार्य करने की अपेक्षा ही करते है जैसे एक से दूसरे स्थान तक जाना। आप अपने रोबोट को पूर्णतया एनालॉग चीजों से या कोई स्टार्टर किट खरीद कर शुरुआत कर सकते हैं। स्वयं का रोबोट बनाना खुद को इलेक्ट्रॉनिक्स और कंप्यूटर प्रोग्राम सिखाने का एक बेहतरीन तरीका हैं।

रोबोट के पुर्जे जोड़ना

• आरड्यूईनो यूनो (Arduino Uno) या अन्य माइक्रोकंट्रोलर (microcontroller)
• 2 लगातार घूमने वाले सर्वोस (servos)
• 2 टायर जो सर्वोस (servos) में फिट हो सके
• 1 कास्ट रोलर (caster roller)
• 1 छोटा बिना सोल्डर का ब्रेड बोर्ड (solderless breadboard) ऐसे ब्रेडबोर्ड को खोजे जिसमे दोनों तरफ दो-फ़ो नकारात्म और सकारात्मक लाइन लगी हो।
• 1 डिस्टेन्स सेंसर (distance sensor) जिसमे चार पिनों की एक जोड़ने वाली केबल लगी हो।
• 1 छोटा पुश बटन जिसमे 1 10kΩ का रजिस्टर (resistor) भी शामिल हो।
• 1 ब्रेकवे हैडर (breakaway headers) का सेट
• 1 6 x AA बैटरी होल्डर 9V डीसी/DC पॉवर जैक के साथ
• 1 जम्पर तारो का पैकेट या 22-गैज हुक-अप तार
• मजबूत दोनों ओर से चिपकने वाली टेप या मजबूत गोंद

• सर्वोस (servous) अब बैटरी का आधा हिस्सा ढँक रहा होता हैं।

• यदि आप एक किट खरीदते है, तो कास्टर के साथ शायद आपको कुछ राइजर (risers) भी उसमे दीये जाएंगे जिनका इस्तेमाल कर आप कास्टर का जमीन तक पहुँचना सुनिश्चित कर सकते हैं।

रोबोट की वायरिंग करना

पॉवर की वायरिंग करना

आरड्यूईनो (Arduino) सॉफ्टवेयर इंस्टॉल करना

रोबोट को प्रोग्राम करना

• आपको रोबोट को जमीं से उठाना हिगा क्योंकि जैसे ही प्रोग्राम उसमे अपलोड होगा रोबोट चलना शुरू हो जायेगा।

निम्नलिखित कोड रोबोट के सेंसर का इस्तेमाल कर रास्ते में किसी रुकावट के आपने पर उसको दायें या बाएं घुमाएगा। कोड के प्रत्येक भाग के बारे में ज्यादा जानकारी के लिए टिप्पणियॉ देखें। नीचे दिए गए कोड पूरा प्रोग्राम हैं। [२] X रिसर्च सोर्स

संबंधित लेखों

• ↑ http://makezine.com/projects/building-a-simple-arduino-robot/
• ↑ http://www.foxytronics.com/learn/robots/kit-guides/funduino-uno-robotics-kit-guide/programming

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No Sugar Added Fig Moscow Mule

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Now for the long(er) story. If you follow me on instagram , you know that I’ve recently become a bit fig-obsessed. If you don’t follow me on instagram, you may not know that we’ve moved to California. From Pittsburgh, to Boston to the Bay. I’ll definitely share more of a life update soon, but instead of dragging my feet and making excuses to post anything at all to the blog: I’m going to jump right in and post this drink recipe.

As I mentioned above, I love Moscow Mules . Love. Them. I love when restaurants have their signature twist on them, and I love doing the same with what we have on hand.  What do I have a lot of currently? FIGS!

How No Sugar Added Fig Moscow Mules Came to Be

My challenge for this drink was to create a simple syrup of sorts without adding any sugar. I’m definitely not an expert: can it still be called a simple syrup? I’m not totally sure, but this beautiful bright pink of the drink comes from cooking down figs and champagne grapes with mint leaves. Don’t have champagne grapes? No worries! Grapes of any kind (I’d halve them first) or even plums would do the drink and give you a similar, light and summery take on the classic Moscow Mule. It’s also excellent with just a little extra ginger beer — leave out the vodka altogether. Mocktails are definitely a summer staple for me!

A few of my favorite Moscow Mule-making supplies are linked below. While I would typically say that a copper mug is a must, for this version – I’d skip it! Show off the pretty color and use whatever clear glass you have on hand. I absolutely LOVE my Oxo Cocktail Shaker because the top doubles as a measuring cup – maybe they all do this? Ha! I tend to live under a rock these days.

MOSCOW MULE SUPPLIES

No Sugar Added Fig Moscow Mules

These delicious drinks were the result of a personal challenge: create a light, summer drink with a simple syrup made from fruit alone. It's delicious, balanced - and not too sweet!

Ingredients

Fig and fruit syrup.

• 2 cups Water
• 2 Figs quartered
• 1 cup Champagne Grapes swap in: plums (quartered) or grapes (halved)
• 5 leaves Mint muddled/bruised/ripped

Drink Ingredients

• 1-2 oz Vodka
• 1/2 lime roughly one tablespoon
• Ginger Beer depends on glass size/mocktail/preference
• 3 leaves Mint
• 1/4 Fig sliced
• 1/3 cup Ice

Instructions

Fig and fruit syryup.

Combine water, figs, grapes and mint to a small sauce pan over medium heat. 

As fruit softens, smash with a wooden spoon. Simmer for roughly 10 minutes, uncovered to allow liquid to reduce. 

Remove from heat and allow to cool. 

Put it All Together

In your cocktail shaker, add vodka, lime, half of your fruit syrup and ice. 

Pour into your cup or mug of choice, top with ginger beer. 

Finish with a fresh mint leaf and a fig slice. 

I’d love to hear what you think! I’ll be sharing more fig recipes this week — pizza, burgers and more drinks. I can’t get enough of these figs, and I also refuse to let them go to waste. It also will keep me accountable to get these posted and to you all!

Thank you for being here.

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