Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning.
David Luviano CruzWen YuPublished in: Neurocomputing (2017)
Keyphrases
- path planning
- mobile robot
- path planning algorithm
- dynamic environments
- dynamic and uncertain environments
- multi agent systems
- reinforcement learning
- navigation tasks
- indoor environments
- initially unknown
- autonomous vehicles
- multi robot
- path planner
- obstacle avoidance
- collision avoidance
- multiple robots
- autonomous agents
- trajectory planning
- multi agent
- autonomous navigation
- real robot
- multi agent reinforcement learning
- multi agent environments
- robot path planning
- unknown environments
- landmark recognition
- degrees of freedom
- path finding
- motion planning
- potential field
- optimal path
- neural network
- configuration space
- search and rescue
- sensory inputs
- robot control
- single agent
- coalition formation
- autonomous robots
- robotic systems
- state space
- collision free
- autonomous systems
- uncertain environments