Resumen
In this paper, we propose a novel compact reachability map representation for excavator motion planning. The constructed reachability map can concisely encode the bucket's reachable pose and the translation capability limited by excavator's kinematic structure. By explicitly exploiting the property that the basic excavation motion lies on the excavation plane determined by excavator links, we further reduce the construction of the map from 3D Euclidean space to 2D excavation plane. We show the pre-computed reachability map can be used to develop new excavator motion planning approach. By indexing on the pre-computed reachability map, we can efficiently compute the feasible full-bucket trajectory for single step excavation operation. We highlight the results of the reachability map construction and demonstrate the simulation results of motion planning using a commercial dynamic simulator.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 |
| Páginas | 2308-2313 |
| Número de páginas | 6 |
| ISBN (versión digital) | 9781728140049 |
| DOI | |
| Estado | Published - nov 2019 |
| Evento | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 - Macau, China Duración: nov 3 2019 → nov 8 2019 |
Serie de la publicación
| Nombre | IEEE International Conference on Intelligent Robots and Systems |
|---|---|
| ISSN (versión impresa) | 2153-0858 |
| ISSN (versión digital) | 2153-0866 |
Conference
| Conference | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 |
|---|---|
| País/Territorio | China |
| Ciudad | Macau |
| Período | 11/3/19 → 11/8/19 |
Nota bibliográfica
Publisher Copyright:© 2019 IEEE.
Financiación
*This work was supported by Baidu Inc. 1Y. Yang is with the City University of Hong Kong. [email protected] 2L. Zhang, X. Cheng, R. Yang are with the Robotics and Auto-Driving Lab, Baidu Research. liangjunzhang, chengxinjing, [email protected] 3J. Pan is with the University of Hong Kong. [email protected]
| Financiadores |
|---|
| Baidu Inc |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications
Huella
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