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.
At the CoRL 2024 industry panel, robotics leaders from Google DeepMind, Toyota Research Institute, NVIDIA, and Physical Intelligence discuss research priorities, routes to deployment, and the future of robotics.
Wei of Tsinghua University, Ren of Renmin University of China, Wen, Jad, Priya, Joey of Remix, and UC Berkeley professor Jitendra Malik present CoRL 2024 research on robot learning, manipulation, and perception during the Conference on Robot Learning oral session.
Conference of Robot Learning keynote speakers and audience members discuss scaling, priors, robot hardware, evaluation, and what it would mean to solve robotics at CoRL 2024.
Vikash, MyoLab co-founder and Carnegie Mellon adjunct professor, presents an early-career keynote at CoRL 2024 on robust robot learning, data augmentation, and universal agents.
Computer vision researcher Cordelia Schmid presents her work on multimodal video understanding and vision-language-guided robotics at CoRL 2024.
Jay, a research scientist at Google DeepMind, presents his perspective on robot generalization and foundation models at CoRL 2024 in a session chaired by Andrea Bicchi and Shaoan Wang.
Mustafa M. M., a staff research scientist at FAIR who leads a manipulation and tactile sensing team, presents Meta’s robotics and touch perception work at CoRL 2024.
Professor Danfei Xu of Georgia Tech gives the Conference on Robot Learning early career keynote on learning robot skills from embodied human data.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
