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.
Professor Nancy Pollard of Carnegie Mellon University discusses practical robot dexterity at an MIT Robotics seminar, drawing on research with her team and collaborators.
Mac Schwager, a robotics researcher speaking for his lab at MIT Robotics, examines whether vision-language-action policies generalize and what might make them more reliable.
Professor Quan Nguyen of USC discusses hierarchical learning and control for agile, adaptive legged robots at the MIT Robotics Seminar, where he previously worked as a postdoc.
MIT professor and Toyota Research Institute vice president Russ Tedrake explains how graphs of convex sets can combine trajectory optimization and discrete search for robot planning at the MIT Robotics Seminar.
Nima Fazeli, a robotics researcher at the University of Michigan, presents work on dexterous multimodal robotic tool use at an MIT Robotics Seminar, with collaborators from Google and Michigan.
Vladlen Koltun, an AI and robotics researcher, discusses simulation-based policy transfer and agile drone flight with MIT Robotics, drawing on work with David Scaramuzza and PhD students at the University of Zurich.
Dieter Fox, senior research director at NVIDIA and professor at the University of Washington, discusses building reusable robot manipulation skills in a talk hosted by MIT Robotics.
Kostas Bekris, an associate professor at Rutgers and Amazon Scholar, discusses closing perception-planning and simulation-to-reality gaps in robotics, drawing on work with collaborators at Yale, Amazon, and NASA Ames.
Marco Hutter, professor at ETH and founder of ANYbotics, discusses legged robot control, autonomy, and field applications at an MIT Robotics talk.
Pulkit Agrawal, professor of EECS at MIT and founder of the Improbable AI Lab, discusses robot learning at an MIT Robotics seminar.
Michael Posa, an assistant professor at the University of Pennsylvania and director of its Dynamic Autonomy and Intelligent Robotics Group, presents recent work on contact-aware control and learning at an MIT Robotics seminar in Cambridge.
Karen Liu, an associate professor of computer science at Stanford University, discusses physics-based human motion simulation and its use in robotics at an MIT Robotics talk.
Jessy Grizzle, distinguished professor of engineering and director of the Robotics Institute at the University of Michigan, discusses mathematics, learning, and feedback control for bipedal locomotion at an MIT Robotics seminar.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
