The Third Wave of Robotic Learning with Ken Goldberg - #359
Analysis
This article from Practical AI features an interview with Ken Goldberg, a UC Berkeley professor specializing in robotic learning. The discussion centers on the challenges of robotic grasping, particularly the uncertainties in perception, control, and physics. Goldberg's insights also cover the importance of physics in robotic learning and potential applications of robots in telemedicine, agriculture, and COVID-19 testing. The interview highlights the ongoing advancements and practical applications of robotics in various fields, emphasizing the role of learning and problem-solving in this domain.
Key Takeaways
- •The interview focuses on the challenges of robotic grasping, including uncertainties in perception, control, and physics.
- •Ken Goldberg discusses the role of physics in robotic learning.
- •Potential applications of robots in telemedicine, agriculture, and COVID-19 testing are highlighted.
Reference
“We chat about some of the challenges that arise when working on robotic grasping, including uncertainty in perception, control, and physics.”