© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ; This paper deals with the problem of combining motion and task assignment for a dual-arm robotic system. Each arm of the system performs independent tasks in a cluttered environment. Robot actions are determined to remove potential obstacles and obtain collision-free paths to grasp the target objects. The approach uses the information provided by the motion planner to build a graph structure in order to represent the obstacles to be removed. The graph is used, first, to decide which is the next motion path to be computed, and, second, to assign the tasks to each arm of the robotic system. The approach has been implemented for a dual-arm robotic system and real experiments are presented in the pape ; Accepted version
Combining motion planning and task planning for a dual-arm system
2016-01-01
Miscellaneous
Electronic Resource
English
DDC: | 629 |
COMBINING TASK AND MOTION PLANNING FOR INTERSECTION ASSISTANCE SYSTEMS
British Library Conference Proceedings | 2016
|Task-dependent synergies for motion planning of an anthropomorphic dual-arm system
BASE | 2017
|Multimodal Planning under Uncertainty: Task-Motion Planning and Collision Avoidance
BASE | 2021
|Interleaving hierarchical task planning and motion constraint testing for dual-arm manipulation
BASE | 2019
|