机器人辅助擦拭和沐浴的柔软触觉轮廓跟踪

Isabella Huang, Dylan Chow, R. Bajcsy
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引用次数: 2

摘要

由于家具、浴室水槽甚至人体等表面的三维几何特性,自动清洁具有挑战性。然而,使机器人能够有效、安全地完成这些任务,不仅可以减少用户在家庭清洁家务上花费的精力,而且还可以减轻照顾者的繁重工作量,因为老年人口继续以前所未有的速度增长。在这项工作中,我们将擦物体和洗澡的应用统一为一般的轮廓跟踪问题。为此,我们利用基于深度摄像头的软触觉传感器提取机器人与目标物体或身体部位相互作用时的接触几何形状和力相关度量,并设计了一个通用的轮廓跟随控制器,该控制器不仅在整个清洁过程中保持与目标的接触,而且还调节施加的力的大小。我们的系统能够成功地清洗管道、架子,甚至人类的四肢和躯干,而不需要深度学习等数据驱动的方法,而大多数现有的工作都依赖于深度学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft Tactile Contour Following for Robot-Assisted Wiping and Bathing
The automated cleaning of surfaces such as furniture, bathroom sinks, and even human bodies is challenging due to the three-dimensional nature of their geometries. Yet, enabling robots to effectively and safely perform these tasks would not only reduce user efforts spent on household cleaning chores, but would also alleviate the strenuous workload of caretakers as the elderly population continues to grow at an unprecedented rate. In this work, we unify the applications of wiping objects and bathing humans as a general contour-following problem. To this end, we utilize a depth camera-based soft tactile sensor to extract the contact geometries and force-correlated measures during interaction between the robot and the target object or body part, and design a general contour-following controller that not only maintains contact with the target throughout the cleaning process, but also regulates the amount of force applied. Our system enables successful cleaning of pipes, shelving, and even human limbs and torsos without the need for data-driven methods such as deep learning, upon which the majority of existing works have relied.
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