MPPTM: A Bio-Inspired Approach for Online Path Planning and High-Accuracy Tracking of UAVs.
Xin YiAnmin ZhuS. X. YangPublished in: Frontiers Neurorobotics (2021)
Keyphrases
- path planning
- bio inspired
- unmanned aerial vehicles
- high accuracy
- mobile robot
- path planning algorithm
- aerial vehicles
- swarm intelligence
- obstacle avoidance
- dynamic environments
- collision avoidance
- real time
- multi robot
- motion planning
- hybrid intelligent systems
- dynamic and uncertain environments
- indoor environments
- artificial neural networks
- potential field
- autonomous systems
- autonomous navigation
- path planner
- robot path planning
- autonomous vehicles
- degrees of freedom
- multiple targets
- visual tracking
- particle filter
- configuration space
- computer vision
- multiple robots
- optimal path
- biologically inspired
- machine learning
- search and rescue
- genetic programming
- collision free
- motion model
- moving target