Real-time path planning for a robot to track a fast moving target based on improved Glasius bio-inspired neural networks.
Mingzhi ChenDaqi ZhuPublished in: Int. J. Intell. Robotics Appl. (2019)
Keyphrases
- path planning
- moving target
- bio inspired
- neural network
- real time
- mobile robot
- path planning algorithm
- obstacle avoidance
- swarm intelligence
- artificial neural networks
- multi robot
- motion planning
- dynamic environments
- motion detection
- autonomous vehicles
- collision avoidance
- path planner
- multiple robots
- robot path planning
- potential field
- degrees of freedom
- navigation tasks
- optimal path
- collision free
- fuzzy logic
- search and rescue
- autonomous navigation
- video camera
- vision system
- multiple targets
- aerial vehicles
- unmanned aerial vehicles
- particle swarm optimization pso
- computer vision
- video sequences
- genetic algorithm
- moving objects