3 code implementations • 24 Oct 2019 • Michael Everett, Yu Fan Chen, Jonathan P. How
Collision avoidance algorithms are essential for safe and efficient robot operation among pedestrians.
6 code implementations • 4 May 2018 • Michael Everett, Yu Fan Chen, Jonathan P. How
This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules.
2 code implementations • 26 Mar 2017 • Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How
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).
no code implementations • 26 Sep 2016 • Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agent's intent (e. g. goal) is unobservable to the others.
Multiagent Systems