Human-robot collaborative disassembly is an emerging trend in the sustainable recycling process of electronic and mechanical products. It requires the use of advanced technologies to assist workers in repetitive physical tasks and deal with creaky and potentially damaged components. Nevertheless, when disassembling worn-out or damaged components, unexpected robot behaviors may emerge, so harmless and symbiotic physical interaction with humans and the environment becomes paramount. This work addresses this challenge at the control level by ensuring safe and passive behaviors in unplanned interactions and contact losses. The proposed algorithm capitalizes on an energy-aware Cartesian impedance controller, which features energy scaling and damping injection, and an augmented energy tank, which limits the power flow from the controller to the robot. The controller is evaluated in a real-world flawed unscrewing task with a Franka Emika Panda and is compared to a standard impedance controller and a hybrid force-impedance controller. The results demonstrate the high potential of the algorithm in human-robot collaborative disassembly tasks.
翻译:人类机器人合作拆卸是电子和机械产品可持续再循环过程中出现的一种新趋势,需要使用先进技术协助工人进行重复性物理任务,并处理破碎和可能损坏的部件;然而,在拆卸破损或损坏部件时,可能会出现意外机器人行为,因此与人类和环境的无害和共生物理互动变得至关重要;这项工作通过确保无计划互动和接触损失中的安全和被动行为,在控制层面应对这一挑战;提议的算法利用一个能觉的碳酸盐阻力控制器,该控制器的特点是能源缩放和阻塞注射,以及一个增强的能源罐,它限制了控制器向机器人的电力流动;在现实世界中,对控制器进行与Franka Emika Panda公司有缺陷的不加密任务的评估,并与标准阻力控制器和混合力干扰控制器进行比较。结果表明,人类机器人协作拆卸任务中的算法具有很高潜力。