The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Heuristic approaches in robot path planning: A survey
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Citations
Cites
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
Sampling-based algorithms for optimal motion planning
Karaman, S., & Frazzoli, E. (2011) · The International Journal of Robotics Research · doi:10.1177/0278364911406761 · Cited by 5,275
Randomized Kinodynamic Planning
LaValle, S. M., & Kuffner, J. J. (2001) · The International Journal of Robotics Research · doi:10.1177/02783640122067453 · Cited by 3,254
Introduction to autonomous mobile robots
(2011) · Choice Reviews Online · doi:10.5860/choice.49-1492 · Cited by 2,169
Anytime Motion Planning using the RRT*
Karaman, S., Walter, M. R., Perez, A., Frazzoli, E., & Teller, S. (2011) · 2011 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2011.5980479 · Cited by 881
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
Ge, S. S., & Cui, Y. J. (2002) · Autonomous Robots · doi:10.1023/a:1020564024509 · Cited by 803
Sampling-Based Robot Motion Planning: A Review
Elbanhawi, M., & Simic, M. (2014) · IEEE Access · doi:10.1109/access.2014.2302442 · Cited by 786
Optimal kinodynamic motion planning using incremental sampling-based methods
Karaman, S., & Frazzoli, E. (2010) · 49th IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2010.5717430 · Cited by 416
Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics
Webb, D. J., & van den Berg, J. (2013) · 2013 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2013.6631299 · Cited by 409
Robot path planning in uncertain environment using multi-objective particle swarm optimization
Zhang, Y., Gong, D.-W., & Zhang, J.-H. (2013) · Neurocomputing · doi:10.1016/j.neucom.2012.09.019 · Cited by 406
Cited by
Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning
Lamini, C., Benhlima, S., & Elbekri, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.01.113 · Cited by 478
Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment
Tang, G., Tang, C., Claramunt, C., Hu, X., & Zhou, P. (2021) · IEEE Access · doi:10.1109/access.2021.3070054 · Cited by 474
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Kuutti, S., Bowden, R., Jin, Y., Barber, P., & Fallah, S. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2962338 · Cited by 96
Multi-robot Path Planning Based on Spatio-Temporal Information in Large-scale Unknown Environment
Ding, J., Zhang, L., & Cheng, J. (2021) · 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) · doi:10.1109/m2vip49856.2021.9665033 · Cited by 3
Metadata
- Authors
- Mac, T. T., Copot, C., Tran, D. T., & De Keyser, R.
- Venue
- Robotics and Autonomous Systems
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 86
- Pages
- 13-28
- ISSN
- 0921-8890 (ISSN-L)
- OpenAlex
- W2515498963
- Cited by
- 641
- References
- 51
- FWCI
- 30.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Mac, T. T., Copot, C., Tran, D. T., & De Keyser, R. (2016). Heuristic approaches in robot path planning: A survey. Robotics and Autonomous Systems. https://doi.org/10.1016/j.robot.2016.08.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
