Evaluation and Optimization of Dual-Arm Robot Path Planning for Human-Robot Collaborative Tasks in Smart Manufacturing Contexts
Document Type
Article
Publication Date
1-1-2021
Journal / Book Title
ASME Letters in Dynamic Systems and Control
Abstract
In human-robot collaborative tasks, the performance of robot path planning has a direct impact on the robot-to-human hand-over process, or even the collaboration quality. In this work, we propose an evaluation study on multiple robot path planners with different metrics and reveal their pros and cons in representative human-robot collaborative manufacturing contexts. Afterward, based on the proposed metrics, we define a cost function for the dual-arm robot to choose optimized path planning solutions with maximum efficiency for its human partner in human-robot collaboration. We implement the proposed evaluation and optimization approaches to multiple realistic human-robot collaborative manufacturing contexts. Experimental results and evaluations suggest that our approaches are able to provide positive solutions for the robot path planner selection and also open a window for exploring more complicated and general robot path planning applications to human-robot collaborative tasks in smart manufacturing contexts.
DOI
10.1115/1.4046577
Montclair State University Digital Commons Citation
Wang, Weitian; Chen, Yi; and Jia, Yunyi, "Evaluation and Optimization of Dual-Arm Robot Path Planning for Human-Robot Collaborative Tasks in Smart Manufacturing Contexts" (2021). Department of Computer Science Faculty Scholarship and Creative Works. 733.
https://digitalcommons.montclair.edu/compusci-facpubs/733