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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Akella, S. Jufeng Peng |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA (Akella, S.) |
| Abstract | Coordinating multiple manipulators in a shared workspace while considering their dynamics is an important problem. This problem of collision-free coordination arises in assembly, materials transfer, and welding workcells. Previous approaches that considered robot dynamics have typically been restricted to coordinating just two or three manipulators, even when their paths are specified. We address the task of coordinating the motions of multiple manipulators when either their trajectories or their paths are given. By exploiting a fundamental time scaling law for manipulators based on their dynamics, we identify sufficient conditions for collision-free coordination of the robots when the velocity profiles can be uniformly time-scaled and the robot start times can be varied. We describe an approach that develops mixed integer programming formulations of these problems, where the time scaling factors are linear variables, to automatically minimize completion time. This method can potentially coordinate the motions of many manipulators. |
| Sponsorship | IEEE Robotics and Automation Soc |
| Starting Page | 3337 |
| Ending Page | 3344 |
| File Size | 678266 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780382323 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2004.1308769 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot kinematics Manipulator dynamics Robotic assembly Welding Sufficient conditions Robotics and automation Timing Computer science Actuators Torque |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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