Reachability Based Trajectory Generation Combining Global Graph Search in Task Space and Local Optimization in Configuration Space
- DOI
- 10.1109/iros47612.2022.9981906
- Published
- 2022-10-23
- Container
- 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/iros47612.2022.9981906,
title = {Reachability Based Trajectory Generation Combining Global Graph Search in Task Space and Local Optimization in Configuration Space},
author = {Iori Kumagai and Masaki Murooka and Mitsuharu Morisawa and Fumio Kanehiro},
year = {2022},
journal = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
doi = {10.1109/iros47612.2022.9981906},
url = {https://doi.org/10.1109/iros47612.2022.9981906}
}RIS
TY - JOUR TI - Reachability Based Trajectory Generation Combining Global Graph Search in Task Space and Local Optimization in Configuration Space AU - Iori Kumagai AU - Masaki Murooka AU - Mitsuharu Morisawa AU - Fumio Kanehiro PY - 2022 JO - 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) DO - 10.1109/iros47612.2022.9981906 UR - https://doi.org/10.1109/iros47612.2022.9981906 ER -
APA
Kumagai, I., Murooka, M., Morisawa, M., & Kanehiro, F. (2022). Reachability Based Trajectory Generation Combining Global Graph Search in Task Space and Local Optimization in Configuration Space. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros47612.2022.9981906
Source records
- crossref · retrieved 2026-09-25T23:57:25.330Z