Robot learns fast but safe navigation strategy
Press Releases | January 18, 2021
Combining deep reinforcement learning and curriculum learning to achieve fast but safe mobile robot navigation
A research group from the Active Intelligent System Laboratory (AISL) at Toyohashi University of Technology (TUT) has proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates. The framework combines deep reinforcement learning (DRL) and curriculum learning in the training process for robots to learn a fast but safe navigation policy.