2 citations · 5 across the 6 of their papers we have counts for
6 papers
Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving
Qianfeng Wen, Zhongyi Gong, Lifeng Zhou +1
The integration of autonomous vehicles into urban and highway environments necessitates the development of robust and adaptable behavior planning systems. This study presents an in…
Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring
Jingxi Chen, Amrish Baskaran, Zhongshun Zhang +1
The Visibility-based Persistent Monitoring (VPM) problem seeks to find a set of trajectories (or controllers) for robots to persistently monitor a changing environment. Each robot…
Strategies to Inject Spoofed Measurement Data
Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar
We study the problem of designing false measurement data that is injected to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and fi…
Tree Search Techniques for Minimizing Detectability and Maximizing Visibility
Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou +3
We introduce and study the problem of planning a trajectory for an agent to carry out a scouting mission while avoiding being detected by an adversarial guard. This introduces an a…
Strategies to Inject Spoofed Measurement Data to Mislead Kalman Filter
Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar
We study the problem of designing false measurement data that is injected to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and fi…
Non-Myopic Target Tracking Strategies for State-Dependent Noise
Zhonghshun Zhang, Pratap Tokekar
We study the problem of devising a closed-loop strategy to control the position of a robot that is tracking a possibly moving target. The robot is capable of obtaining noisy measur…