Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2017.2651371
Abstract: High-speed, low-latency obstacle avoidance that is insensitive to sensor noise is essential for enabling multiple decentralized robots to function reliably in cluttered and dynamic environments. While other distributed multiagent collision avoidance systems exist, these systems… read more here.
Keywords: avoidance policy; distributed multiagent; navigation; collision avoidance ... See more keywords