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.
Bingjie Tang, a USC PhD student who worked on this project as an NVIDIA Seattle Robotics Lab intern, presents research on transferring contact-rich assembly policies from simulation to real robots at the University of Toronto AI Robotics Lab seminar.
Joanne Truong, a Georgia Tech PhD researcher, presents her Sim2Robot research at the AI Robotics Seminar at the University of Toronto, explaining how to train robots in imperfect simulators and transfer their skills to real environments.
Zhenjia Xu, a Columbia University PhD candidate advised by Shuran Song, discusses deformable object manipulation at the University of Toronto AI Robotics Seminar.
Kourosh Darvish, a postdoctoral researcher at the University of Toronto and member of the Vector Institute, discusses shared autonomy, collaborative assembly, and humanoid robot teleoperation at the AI Robotics Seminar at the University of Toronto.
Mohit Shridhar, a University of Washington doctoral researcher working on vision and language, presents Perceiver-Actor at the University of Toronto’s AI Robotics Seminar.
Eric Heiden, a USC PhD candidate researching robotics and machine learning, explains simulation-based inference for reducing the reality gap at the Toronto AI Robotics Seminar hosted by the University of Toronto.
Weiyu Liu, a robotics PhD candidate at Georgia Tech’s School of Interactive Computing, presents research on grounded semantic reasoning for robotic interaction at the Toronto AIR Seminar, hosted by AI Robotics Seminar at the University of Toronto.
Xin Chen, a researcher with UC Berkeley’s Center for Human-Compatible AI, discusses representation learning for imitation with the University of Toronto AI Robotics Seminar.
Georgia Chalvatzaki, a research group leader at TU Darmstadt and postdoc in Jan Peters’s Intelligent Autonomous Systems group, presents work on speeding up robot learning from demonstrations and learned models at the University of Toronto’s AI in Robotics Seminar.
Krishna Murthy, a PhD candidate at Mila’s Robotics and Embodied AI Lab, discusses differentiable programs for SLAM, simulation, and robotics at the AI and Robotics Seminar hosted by the University of Toronto.
Maria Bauza, an MIT mechanical engineering PhD student, discusses tactile sensing for dexterous robot manipulation in a seminar hosted by the AI Robotics Seminar at the University of Toronto.
Samarth Brahmbhatt, a researcher at Intel and former Georgia Tech robotics and computer vision PhD researcher, presents work on hand-object contact at the University of Toronto’s AI in Robotics Reading Group.
Joonho Lee, a doctoral researcher at the Robotic Systems Lab, presents his ANYmal locomotion research at the AI Robotics Seminar at the University of Toronto.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
