The Toyota Research Institute is using generative AI to accelerate robotic learning, teaching robots from just a few examples without changing the code. MIT CSAIL's Daniela Rus also highlighted the power of generative AI in solving motion planning problems, resulting in faster, more human-like solutions. The advanced commercially available robotic system, Digit, is being piloted at Amazon fulfillment centers and other real-world locations, indicating the broad and exciting potential applications of this technology.
Key takeaways:
- Generative AI and large language models are set to revolutionize the way robots communicate, learn, look and are programmed, with many top universities, research labs and companies exploring these technologies.
- Oregon-based startup Agility has been experimenting with these technologies using its bipedal robot, Digit, and has showcased its work in a short video.
- Natural language communication and low- and no-code technologies are key potential applications for this technology, as demonstrated by the Toyota Research Institute and MIT CSAIL.
- Digit, which is being piloted at Amazon fulfillment centers and other real-world locations, could be a prime candidate for these applications, as robots that work alongside humans will need to learn to listen to them.