PointWAM takes a colored point cloud and a language instruction, then forecasts the future trajectories of every observed scene point and a set of hand keypoints.
Forecasting 3D scene motion improves dexterous robot manipulation
PointWAM jointly predicts how hands and surrounding objects move, then converts the forecast hand trajectories into robot actions.
Top University
Chunghyun Park · Beomjun Kim · Seungcheol Park · Heeseung Kwon · Yashu Shukla · Seunghoon Sim · +2 more
POSTECH · KAIST · Hanyang University · RLWRLD
Research Digest··3 min read
Park et al.
Why this paper
From KAIST and 3 others · Part of Robot World Models, now 14 papers
In one line
Jointly forecasting 3D point trajectories of scene and hands improves dexterous robotic manipulation.
What we could check
- ·No code link found
- ·No weights link found
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- ✓Limitations stated by the authors
- ✓Reports numbers on named benchmarks (2 benchmarks)
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