arXiv:2410.16481cs.RO2024-10被引 9

用时间切换实现单机器人稳定抓控,无需精确感知

Caging in Time: A Framework for Robust Object Manipulation under Uncertainties and Limited Robot Perception

  • 通过时序切换末端位姿,动态构建临时接触笼
  • 单机器人开环操作仍可精准完成静态与动态任务
  • 适合感知受限或对象信息未知的现实场景

现实世界中的物体操作常受物理不确定性与感知限制挑战。虽基于笼形构型的操控框架能提供稳健解法,但其广泛应用受限于多机器人、广泛接触点或特定几何要求。本文提出新型框架Caging in Time,使单机器人也能形成笼形构型。核心思想是:笼形约束只需部分接触在特定时刻激活,通过策略性切换末端执行器位姿并随时间收敛,即可动态构建所需接触区域。我们在复杂准静态与动态任务上验证该方法,支持几何与能量基笼形构型。大量实验表明,无需物体几何或物理属性知识,也无需实时状态反馈,系统仍可实现鲁棒且精确的开环操控。Caging in Time不仅是有效鲁棒的开环解决方案,还可作为受不确定或有限感知影响系统的补充策略。

原文摘要 · Abstract (English)

Real-world object manipulation has been commonly challenged by physical uncertainties and perception limitations. Being an effective strategy, while caging configuration-based manipulation frameworks have successfully provided robust solutions, they are not broadly applicable due to their strict requirements on the availability of multiple robots, widely distributed contacts, or specific geometries of robots or objects. Building upon previous sensorless manipulation ideas and uncertainty handling approaches, this work proposes a novel framework termed Caging in Time to allow caging configurations to be formed even with one robot engaged in a task. This concept leverages the insight that while caging requires constraining the object's motion, only part of the cage actively contacts the object at any moment. As such, by strategically switching the end-effector configuration and collapsing it in time, we form a cage with its necessary portion active whenever needed. We instantiate our approach on challenging quasi-static and dynamic manipulation tasks, showing that Caging in Time can be achieved in general cage formulations including geometry-based and energy-based cages. With extensive experiments, we show robust and accurate manipulation, in an open-loop manner, without requiring detailed knowledge of the object geometry or physical properties, or real-time accurate feedback on the manipulation states. In addition to being an effective and robust open-loop manipulation solution, Caging in Time can be a supplementary strategy to other manipulation systems affected by uncertain or limited robot perception.

机器人操控开环控制不确定性处理

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