Manipulator Motion Planning for Part Pickup and Transport Operations From a Moving Base
| Autor: | Pradeep Rajendran, Shantanu Thakar, Satyandra K. Gupta, Ariyan M. Kabir |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
0209 industrial biotechnology
Computer science Computation Real-time computing Work (physics) Base (geometry) 02 engineering and technology Span (engineering) Task (computing) 020901 industrial engineering & automation Control and Systems Engineering Trajectory Pickup Electrical and Electronic Engineering Reduction (mathematics) |
| Zdroj: | IEEE Transactions on Automation Science and Engineering. 19:191-206 |
| ISSN: | 1558-3783 1545-5955 |
| Popis: | Mobile manipulators are being deployed for transporting parts between machines and work stations in warehouses and shop floors. To increase the efficiency of operations, these mobile manipulators are required to complete the tasks as fast as possible. Picking up parts with the manipulator while the mobile base is moving decreases the time required to complete the transportation task and increases the efficiency of operations. However, motions of the manipulator on a moving platform can be risky, and hence, it is desired that the manipulator starts and ends its motions as close as possible to the part being picked up. In this article, we present a bidirectional sampling-based scheme for generating such manipulator trajectories for a given mobile base trajectory for pickup and transportation. Our approach implicitly determines the location of the mobile base where the manipulator motion starts and ends as well as where grasping happens. It also determines which grasping pose to use for picking up the part. Furthermore, we have presented the techniques to reduce the manipulator motion time (span time) and the computation time. Our approach enables us to reduce span time on average by 35% with a 16x reduction in the computation time compared to the RRT-based baseline methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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