Robot path planning in uncertain environment using multi-objective particle swarm optimization
By Yong Zhang, D. Gong, Jianhua Zhang. Neurocomputing, 2013
391 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/974e2b52833b445f8904d5871ba59382952dba47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Alfonso J. García-Cerezo
- Carlos Jesús Pérez-del-Pulgar
- J. Sánchez-Ibáñez
- Robin M. C. De Keyser
- Quang Phuc Ha
- Cosmin Copot
- Thi Thoa Mac
- Manh Duong Phung
In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
- Alfonso J. García-Cerezo
- Carlos Jesús Pérez-del-Pulgar
- J. Sánchez-Ibáñez
- Robin M. C. De Keyser
- Quang Phuc Ha
- Cosmin Copot
- Thi Thoa Mac
- Manh Duong Phung
Citations in the corpus
- Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization (2021, methodology): “Given those advantages, PSO has been widely used for path planning for mobile robot navigation with different approaches introduced such as evolutionary operator-based PSO [35], adaptive bare-bones PSO [36] or multi-objective PSO [37, 38].”
- Path Planning for Autonomous Mobile Robots: A Review (2021, background): “Particles [115–117,”
- Heuristic approaches in robot path planning: A survey (2016, background): “Zhang [75] N Arbitrary Y N Y N N Y N 2013”