Dynamic path planning of autonomous bulldozers using activity-value-optimised bio-inspired neural networks and adaptive cell decomposition.
Xiangyun MengHaojun GaoJiajun WangXiaoling WangHongling YuJun ZhangPublished in: Appl. Soft Comput. (2024)
Keyphrases
- path planning
- bio inspired
- dynamic environments
- neural network
- hybrid intelligent systems
- autonomous navigation
- autonomous vehicles
- modular neural networks
- mobile robot
- artificial neural networks
- swarm intelligence
- neural models
- collision avoidance
- obstacle avoidance
- unmanned aerial vehicles
- multi robot
- path planning algorithm
- motion planning
- dynamic and uncertain environments
- collision free
- autonomous systems
- potential field
- multiple robots
- neural network model
- robot path planning
- search and rescue
- navigation tasks
- path finding
- indoor environments
- degrees of freedom
- path planner
- genetic algorithm
- fuzzy logic
- aerial vehicles
- optimal path
- particle swarm optimization
- back propagation
- configuration space
- soft computing
- ground vehicles