A Comparative Study on State-Action Spaces for Learning Viewpoint Selection and Manipulation with Diffusion Policy
Robotic manipulation tasks often rely on static cameras for perception, which can limit flexibility, particularly in scenarios like robotic surgery and cluttered environments where mounting static cameras is impractical. Ideally, robots could jointly learn a policy for dynamic viewpoint and manipula...
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Veröffentlicht in: | arXiv.org 2024-11 |
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