Biologically inspired reinforcement learning for mobile robot collision avoidance.
Myung Seok ShimPeng LiPublished in: IJCNN (2017)
Keyphrases
- collision avoidance
- biologically inspired
- mobile robot
- reinforcement learning
- path planning
- real robot
- robot control
- visual navigation
- obstacle avoidance
- receptive fields
- dynamic environments
- potential field
- indoor environments
- multi robot
- autonomous robots
- biologically plausible
- learning rules
- mobile robotics
- robotic systems
- motion planning
- humanoid robot
- autonomous navigation
- unknown environments
- neural network
- state space
- collision free
- spiking neural networks
- autonomous vehicles
- outdoor environments
- rough sets
- learning algorithm