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Jixuan Zhi

5 accepted papers

2021

Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors Using Deep Reinforcement Learning

RA-L 2021

Robotic shepherding problem considers the control and navigation of a group of coherent agents (e.g., a flock of bird or a fleet of drones) through the motion of an external robot, called shepherd. Machine learning based methods have successfully solved this problem in an environment with no obstacl

Cited by 35SourceScholar
2019

Computing 3-D From-Region Visibility Using Visibility Integrity

RA-L 2019

Visibility integrity (VI) is a measurement of similarity between the visibilities of regions. It can be used to approximate the visibility of coherently moving targets, called group visibility. It has been shown that computing visibility integrity using agglomerative clustering takes O(n4 log n) for

Cited by 3SourceScholar