任务(项目管理)
运动控制
机器人
计算机科学
运动(物理)
控制工程
运动规划
控制(管理)
任务分析
瓶子
控制理论(社会学)
工程类
模拟
人工智能
机械工程
系统工程
作者
Chunting Jiao,Lin Zhang,Xiaojie Su,Jiangshuai Huang,Zhenshan Bing,Alois Knoll
标识
DOI:10.1109/tie.2023.3260342
摘要
In this article, a novel task-based compliance control approach for a dual-arm robot is presented with a bottle screw task. The presented approach aims at overcoming uncertainties from the object model and contact forces during the bottle screw task. A novel framework is proposed to synthesize the task motion planning and compliance control that ensure desired performance of both accuracy and compliant motion. The proposed task-based compliance control approach provides a hierarchical strategy: gross motion planning and fine compliance motion planning. The gross motion planning involves the absolute and relative motion control on a macroscale, while the fine compliance motion planning deals with uncertainties by the compliance control to accomplish a task requiring high precision robustly. A theoretical modeling of the bottle screw task is presented within the proposed framework through the analysis of uncertainties and constraints. The experimental results show that the proposed framework is efficient and robust to operate a set of bottles.
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