Abstract
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 this https URL.
Abstract (translated)
我们介绍了RoboPanoptes,这是一种功能强大且实用的机器人系统,通过全身视觉实现了全身灵巧性。其全身灵巧性使机器人能够利用整个身体表面进行操作,例如使用多个接触点或在受限空间中导航。与此同时,全身视觉采用分布在机器人表面的摄像头系统来提供全面、多视角的自身状态和环境反馈。 RoboPanoptes的核心是一个全身视动策略(whole-body visuomotor policy),该策略可以直接从人类演示中学得复杂的操作技能,并能够有效地汇总分布式摄像机的信息,同时保持对传感器故障的鲁棒性。这些设计方面共同解锁了新的能力和任务,使RoboPanoptes能够在狭窄的空间中打开物品,在杂乱环境中清扫多个或超大尺寸物体以及完成多步骤储存任务,其适应性和效率优于基准线。 有关结果的最佳查看方式,请访问此 [URL](https://example.com)。
URL
https://arxiv.org/abs/2501.05420