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.
Jim Fan, who leads NVIDIA’s embodied autonomy research group, presents at Sequoia Capital on how robotics could adapt AI’s scaling playbook through world action models, human data, and simulated environments.
Karol Hausman and Tobi Springenberg of Physical Intelligence discuss how robotic foundation models can learn tasks, generalize across settings, and improve through real-world experience.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.
