The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic
Open accessAbstract
Rapidly-exploring random trees (RRTs) are popular in motion planning because they find solutions efficiently to single-query problems. Optimal RRTs (RRT*s) extend RRTs to the problem of finding the optimal solution, but in doing so asymptotically find the optimal path from the initial state to every state in the planning domain. This behaviour is not only inefficient but also inconsistent with their single-query nature.
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Cites
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A Least Squares Estimate of Satellite Attitude
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RRT*-SMART: A Rapid Convergence Implementation of RRT*
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Cited by
Neural RRT*: Learning-Based Optimal Path Planning
Wang, J., Chi, W., Li, C., Wang, C., & Meng, M. Q.-H. (2020) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2020.2976560 · Cited by 555
Qureshi, A. H., Simeonov, A., Bency, M. J., & Yip, M. C. (2019) · 2019 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2019.8793889 · Cited by 253
Habitat 2.0: Training home assistants to rearrange their habitat
Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D., Maksymets, O., et al. (2021) · arXiv · doi:10.48550/arxiv.2106.14405 · Cited by 143
Tsamis, G., Chantziaras, G., Giakoumis, D., Kostavelis, I., Kargakos, A., Tsakiris, A., & Tzovaras, D. (2021) · 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) · doi:10.1109/ro-man50785.2021.9515474 · Cited by 42
Metadata
- Authors
- Gammell, J. D., Srinivasa, S. S., & Barfoot, T. D.
- Venue
- 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2014-09
- Pages
- 2997-3004
- OpenAlex
- W1976930960
- Cited by
- 1,207
- References
- 18
- FWCI
- 14.78
- Type
- conference paper
- Language
- en
- Open access
- green
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- Gammell, J. D., Srinivasa, S. S., & Barfoot, T. D. (2014). Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2014.6942976
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