RoboPanoptes: The All-seeing Robot with Whole-body Dexterity
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Abstract (arXiv)
We present RoboPanoptes, a capable yet practical robot system that achieves whole-body dexterity through whole-body vision. Its whole-body dexterity allows the robot to utilize its entire body surface for manipulation, such as leveraging multiple contact points or navigating constrained spaces. Meanwhile, whole-body vision uses a camera system distributed over the robot's surface to provide comprehensive, multi-perspective visual feedback of its own and the environment's state. At its core, RoboPanoptes uses a whole-body visuomotor policy that learns complex manipulation skills directly from human demonstrations, efficiently aggregating information from the distributed cameras while maintaining resilience to sensor failures. Together, these design aspects unlock new capabilities and tasks, allowing RoboPanoptes to unbox in narrow spaces, sweep multiple or oversized objects, and succeed in multi-step stowing in cluttered environments, outperforming baselines in adaptability and efficiency. Results are best viewed on https://robopanoptes.github.io.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jan 2025.
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Citing papers per year: 2025: 4; 2026: 5.
9 papers.
- 2025DexMachina: Functional Retargeting for Bimanual Dexterous Manipulationcited by 30
- 2025BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activitiescited by 29
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Correctionscited by 25
- 2026Masked Visual Actions for Unified World Modelingcited by 7
- 20253D Equivariant Visuomotor Policy Learning via Spherical Projectioncited by 4
- 2026Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body Teleoperationcited by 4
- 2026Mobile UMI: Cross-View Diffusion Policy with Decoupled Kinematics for Mobile Manipulationcited by 1
- 2026Learning to Act under Visual Interruptions with Vision-Language-Action Modelscited by 0
- 2026Blackout vs. Freeze: Analyzing Physical Failure Modes of VLAs under Camera Faultscited by 0
- 2026Blackout vs. Freeze: Analyzing Physical Failure Modes of VLAs under Camera Faults30 Sep 2026
- 2026Learning to Act under Visual Interruptions with Vision-Language-Action Models28 Sep 2026
- 2026Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body Teleoperation3 Aug 2026
- 2026Masked Visual Actions for Unified World Modeling21 Jul 2026
- 2026Mobile UMI: Cross-View Diffusion Policy with Decoupled Kinematics for Mobile Manipulation20 May 2026
- 2025Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections20 Jun 2025
- 2025DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation30 May 2025
- 20253D Equivariant Visuomotor Policy Learning via Spherical Projection22 May 2025
- 2025BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities7 Mar 2025