Optimal path planning for a mobile robot using cuckoo search algorithm-Reference-Cited by-同舟云学术

Optimal path planning for a mobile robot using cuckoo search algorithm

Published:2014-11-06 Issue:1-2 Volume:28 Page:35-52
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Mohanty Prases K.,Parhi Dayal R.

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/0952813X.2014.971442

Reference30 articles.

1. Mobile robot path planning and tracking using simulated annealing and fuzzy logic control

2. Andrews, J. R. & Hogan, N. (1983). Impedance control as a framework for implementing obstacle avoidance in a manipulator. In D. E.Hardt & W.Book (Eds.), Control of manufacturing processes and robotic systems (pp. 243–251). Boston, MA: ASME.

3. A fast two-stage ACO algorithm for robotic path planning

4. Evolutionary-Group-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Mobile-Robot Navigation in Unknown Environments

5. Real-time obstacle avoidance for manipulators and mobile robots

Cited by 120 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved genetic algorithm for mobile robot path planning in static environments;Expert Systems with Applications;2024-09

2. Information-integration-based optimal coverage path planning of agricultural unmanned systems formations: From theory to practice;Journal of Industrial Information Integration;2024-07

3. Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot;Sensors;2024-06-01

4. Research on robot path planning based on sparrow search algorithm integrating multiple strategies;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

5. A path planning algorithm for unmanned surface vessel with pose constraints in an unknown environment;International Journal of Naval Architecture and Ocean Engineering;2024