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Junzhe (JJ) He

@JayHe748646 • 1,354 subscribers

PhD candidate at ETH RSL @leggedrobotics.

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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.

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Will release something interesting in the coming months.
0:59
JayHe748646's profile picture

Will release something interesting in the coming months.

Junzhe (JJ) He

36,484 просмотров • 2 месяцев назад

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:
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JayHe748646's profile picture

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:

Junzhe (JJ) He

12,846 просмотров • 9 месяцев назад

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