A potential function and artificial neural network for path planning in dynamic environments based on self-reconfigurable mobile robot system.
Bin LiJian ChangChengdong WuPublished in: SSRR (2012)
Keyphrases
- dynamic environments
- path planning
- potential functions
- mobile robot
- robotic systems
- markov random field
- obstacle avoidance
- collision avoidance
- indoor environments
- path planning algorithm
- motion planning
- maximum entropy
- autonomous navigation
- pairwise
- potential field
- autonomous robots
- multi robot
- neural network
- dynamic and uncertain environments
- robot control
- path planner
- autonomous agents
- trajectory planning
- mobile robotics
- unknown environments
- real robot
- autonomous systems
- degrees of freedom
- changing environment
- path finding
- autonomous vehicles
- multiple robots
- navigation tasks
- real environment
- simultaneous localization and mapping
- random fields
- collision free
- control system
- multi agent systems
- image segmentation