The DOI matches its Crossref record; 173 of the 173 references it cites were found in a registry or an index.
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
Open accessAbstract
SUMMARY: We review a range of techniques related to navigation of unmanned vehicles through unknown environments with obstacles, especially those that rigorously ensure collision avoidance (given certain assumptions about the system). This topic continues to be an active area of research, and we highlight some directions in which available approaches may be improved. The paper discusses models of the sensors and vehicle kinematics, assumptions about the environment, and performance criteria. Methods applicable to stationary obstacles, moving obstacles and multiple vehicles scenarios are all reviewed. In preference to global approaches based on full knowledge of the environment, particular attention is given to reactive methods based on local sensory data, with a special focus on recently proposed navigation laws based on model predictive and sliding mode control.
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Cites
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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
Guidance and Control of Ocean Vehicles
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Simultaneous localization and mapping: part I
Durrant-Whyte, H., & Bailey, T. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1638022 · Cited by 4,199
The dynamic window approach to collision avoidance
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Proceedings of the 2004 American Control Conference
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Motion Planning in Dynamic Environments Using Velocity Obstacles
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Reciprocal n-Body Collision Avoidance
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Cited by
A review: On path planning strategies for navigation of mobile robot
Patle, B. K., Babu L, G., Pandey, A., Parhi, D. R. K., & Jagadeesh, A. (2019) · Defence Technology · doi:10.1016/j.dt.2019.04.011 · Cited by 914
Model Predictive Control for Aerial Collision Avoidance in Dynamic Environments
Castillo-Lopez, M., Sajadi-Alamdari, S. A., Sanchez-Lopez, J. L., Olivares-Mendez, M. A., & Voos, H. (2018) · 2018 26th Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med.2018.8442967 · Cited by 44
Metadata
- Authors
- Hoy, M., Matveev, A. S., & Savkin, A. V.
- Venue
- Robotica
- Publisher
- Cambridge University Press (CUP)
- Published
- 2014-03-04
- Volume
- 33
- Issue
- 3
- Pages
- 463-497
- ISSN
- 0263-5747 (ISSN-L)
- 1469-8668
- OpenAlex
- W2127617835
- Cited by
- 469
- References
- 173
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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