Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration

IF 0.9 4区 计算机科学 Q4 ROBOTICS
Guoyu Zuo, Zichen Xu, Gao Huang
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引用次数: 0

Abstract

Efficient and collision-free coordination of two robot arms is increasingly needed in various service-oriented robotic applications. This paper proposes a dual arm coordination algorithm to improve the efficiency of coordination by considering both robot’s actions and operating sequences of the tasks that need to use two arms to complete complex operations. Teleoperation demonstration is first performed to obtain the robot’s human-like motion trajectories, so as to reduce the probability of the collisions between the two arms. The coordination diagram in time domain is then designed to more clearly represent the situations of trajectory collisions and find the collision-free coordination action law. A Coordination Pair Generator (CPG) is designed to reorganize the operating sequences according to the characteristics of input trajectories and the action coordination. The effectiveness and efficiency of our method are verified on the simulation and physical experiments which execute the drug sorting task in nursing homes, respectively, on the ABB YuMi robot model and self-developed robot system. According to the experiment results, the operation time has been reduced by 9% and the collision area has been reduced by 7.5%.

基于遥操作演示的双臂协调与协调图
在各种面向服务的机器人应用中,越来越需要高效、无碰撞的机械臂协调。为了提高协调效率,本文提出了一种双臂协调算法,该算法既考虑了机器人的动作,又考虑了需要双臂完成复杂操作的任务的操作顺序。首先进行遥操作演示,获得机器人的类人运动轨迹,以降低双臂碰撞的概率。然后设计时域协调图,更清晰地表示轨迹碰撞的情况,找到无碰撞的协调作用规律。设计了一个协调对生成器(CPG),根据输入轨迹的特点和动作的协调性对操作序列进行重组。通过在ABB YuMi机器人模型和自主研发的机器人系统上执行养老院药物分拣任务的仿真实验和物理实验,验证了本文方法的有效性和高效性。实验结果表明,操作时间减少了9%,碰撞面积减少了7.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Humanoid Robotics
International Journal of Humanoid Robotics 工程技术-机器人学
CiteScore
3.50
自引率
13.30%
发文量
29
审稿时长
6 months
期刊介绍: The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics. Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot. IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.
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