Socially aware motion planning with deep reinforcement learning

For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is important to model subtle human behaviors and navigation rules (e.g., passing on the right). However, while instinctive to humans, socially compliant navigation is still difficult to quantify due to the st...

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Bibliographic Details
Main Authors: Chen, Yu Fan, Everett, Michael F, Liu, Miao, How, Jonathan P
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Published: 2018
Online Access:http://hdl.handle.net/1721.1/114480
https://orcid.org/0000-0003-3756-3256
https://orcid.org/0000-0001-9377-6745
https://orcid.org/0000-0002-1648-8325
https://orcid.org/0000-0001-8576-1930