WAM-TTT: Teaching Robots to Adapt to New Environments by Watching Humans | GALBOT AstraBrain
Galbot’s main speaker presents WAM-TTT, a method for helping robots adapt to new environments by learning from human demonstration videos.
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.
Galbot’s main speaker presents WAM-TTT, a method for helping robots adapt to new environments by learning from human demonstration videos.
Galbot presents LDA, a world action foundation model for training robots with embodied data of different quality levels.
A Galbot presenter describes a humanoid robot tennis system that plans and controls its movements in response to fast-changing play.
A Galbot representative discusses the company’s autonomous gold-medal performance at the World Humanoid Robot Games and its pharmacy deployments in Beijing.
Jen Jang of Galbot presents OpenWBT, an open-source VR teleoperation system for whole-body humanoid control in simulated and real environments.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.