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NVIDIA's latest AI model helps robots perform pen spinning tricks as well as humans

<p>The use for humans in the world of robotics, even as teachers, is shrinking thanks to AI. <a data-i13n="cpos:1;pos:1" href="https://blogs.nvidia.com/blog/2023/10/20/eureka-robotics-research/">NVIDIA Research has announced the creation of Eureka[/url], an AI agent powered by GPT-4 that has trained robots to perform tasks using reward algorithms. Notably, Eureka taught a robotic hand to do pen spinning tricks as well as a human can (honestly, as you can <a data-i13n="cpos:2;pos:1" href="https://www.youtube.com/watch?v=sDFAWnrCqKc">see in the YouTube video below[/url], better than many of us).</p>
<div id="cf2b940bfa46410493184aac41c5251e"><iframe width="560" height="315" src="https://www.youtube.com/embed/sDFAWnrCqKc?si=-43zdJUGbyeNwVBo" title="YouTube video player" frameborder="0" allowfullscreen=""></iframe></div>
<p>Eureka has also taught quadruped, dexterous hands, cobot arms and other robots to open drawers, use scissors, catch balls and nearly 30 different tasks. According to NVIDIA Research, the AI agent's trial and error-based reward programs are 80 percent more effective than those written by human experts. This shift meant the robots' performance also improved by over 50 percent. Eureka also self-evaluates based on training results, instructing changes in reward functions as it sees fit.</p>
<span id="end-legacy-contents"></span><p>NVIDIA Research has published a library of its Eureka algorithms, encouraging others to try them out on <a data-i13n="cpos:3;pos:1" href="https://developer.nvidia.com/isaac-gym">NVIDIA Isaac Gym[/url], the organization's &quot;physics simulation reference application for reinforcement learning research.&quot;</p>
<p>The idea of robots teaching robots is seeing increased interest and success. A <a data-i13n="cpos:4;pos:1" href="https://openreview.net/forum?id=Jjl2c8kWUc">May 2023 paper published in the Transactions on Machine Learning Research journal[/url] presented a new system called SKILL (Shared Knowledge Lifelong Learning), which allowed AI systems to learn 102 different skills, including diagnosing diseases from chest X-rays and identifying species of flowers. The AIs shared their knowledge — acting as teachers in a way — with each other over a communication network and were able to master each of the 102 skills. Researchers at schools like <a data-i13n="cpos:5;pos:1" href="https://news.mit.edu/2023/ai-technique-robots-manipulate-objects-whole-bodies-0824">MIT[/url] and the <a data-i13n="cpos:6;pos:1" href="https://research-information.bris.ac.uk/en/publications/bi-touch-bimanual-tactile-manipulation-with-sim-to-real-deep-rein">University of Bristol[/url] have also had success, specifically in using AI to teach robots how to manipulate objects.</p>This article originally appeared on Engadget at https://www.engadget.com/nvidias-latest-ai-model-helps-robots-perform-pen-spinning-tricks-as-well-as-humans-130004608.html?src=rss

Source: NVIDIA's latest AI model helps robots perform pen spinning tricks as well as humans (https://www.engadget.com/nvidias-latest-ai-model-helps-robots-perform-pen-spinning-tricks-as-well-as-humans-130004608.html?src=rss)