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Junzhe (JJ) He

@JayHe748646 • 1,391 subscribers

PhD candidate at ETH RSL @leggedrobotics.

Shorts

Using attention-based map encoding, we enable robots to traverse extremely sparse terrains. We are now developing a new architecture that explicitly plans contact points, rather than latent representations, enabling whole-body contact planning for humanoid robots. Stay tuned.

Using attention-based map encoding, we enable robots to traverse extremely sparse terrains. We are now developing a new architecture that explicitly plans contact points, rather than latent representations, enabling whole-body contact planning for humanoid robots. Stay tuned.

23,530 Aufrufe

Tracking is too limited. Now we do navigation-based parkour!

Tracking is too limited. Now we do navigation-based parkour!

19,362 Aufrufe

Videos

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Will release something interesting in the coming months.

Will release something interesting in the coming months.

36,538 Aufrufe • vor 4 Monaten

The teaser video for our latest Science Robotics paper. Full video will be out soon. Paper: Attention-based map encoding for learning generalized legged locomotion Link:

The teaser video for our latest Science Robotics paper. Full video will be out soon. Paper: Attention-based map encoding for learning generalized legged locomotion Link:

13,162 Aufrufe • vor 10 Monaten

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