Tactile Ergodic Coverage on Curved Surfaces

IF 10.5 1区 计算机科学 Q1 ROBOTICS IEEE Transactions on Robotics Pub Date : 2025-01-21 DOI:10.1109/TRO.2025.3532513
Cem Bilaloglu;Tobias Löw;Sylvain Calinon
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Abstract

In this article, we present a feedback control method for tactile coverage tasks such as cleaning or surface inspection. Although these tasks are challenging to plan due to the complexity of continuous physical interactions, the coverage target and progress can be effectively measured using a camera and encoded in a point cloud. We propose an ergodic coverage method that operates directly on point clouds, guiding the robot to spend more time on regions requiring more coverage. For robot control and contact behavior, we use geometric algebra to formulate a task-space impedance controller that tracks a line while simultaneously exerting a desired force along that line. We evaluate the performance of our method in kinematic simulations and demonstrate its applicability in real-world experiments on kitchenware.
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曲面上的触觉尔格覆盖范围
在本文中,我们提出了一种反馈控制方法,用于触觉覆盖任务,如清洁或表面检查。尽管由于持续的物理相互作用的复杂性,这些任务很难规划,但可以使用相机有效地测量覆盖目标和进度,并在点云中进行编码。我们提出了一种遍历覆盖方法,直接对点云进行操作,引导机器人在需要更多覆盖的区域上花费更多的时间。对于机器人控制和接触行为,我们使用几何代数来制定一个任务空间阻抗控制器,该控制器可以跟踪一条线,同时沿着那条线施加所需的力。我们在运动学模拟中评估了我们的方法的性能,并证明了它在厨房用具的实际实验中的适用性。
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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