1037 talks, interviews and lectures on humanoid robots, each summarised with its key moments, so you can read the gist and jump to the part you need.
Ashish Kumar of UC Berkeley presents at GRASP Lab on Rapid Motor Adaptation, a simulation-trained method for legged robots to adjust to changing terrain and loads.
Zackory Erickson, a PhD candidate in Georgia Tech’s Healthcare Robotics Lab, discusses robotic caregiving and physical human-robot interaction with the GRASP Lab audience.
Byron Boots, associate professor at the University of Washington, discusses machine learning for adaptive robots at a GRASP On Robotics event hosted by the GRASP Lab at the University of Pennsylvania.
Stanford mechanical engineering professor Monroe Kennedy III discusses how robots can collaborate effectively with people, drawing on work at his Assistive Robotics and Manipulation Laboratory and examples from prosthetics, wearables, transport, and autonomous vehicles.
Anusha Nagabandi, a research scientist at Covariant and former UC Berkeley PhD researcher, presents work on model-based deep reinforcement learning for real-world robotics at the GRASP Student Faculty Industry Seminar hosted by GRASP Lab.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
