59 citations · 221 across the 105 of their papers we have counts for
7 papers · 1 filter
Multi-Fidelity Reinforcement Learning with Gaussian Processes
Varun Suryan, Nahush Gondhalekar, Pratap Tokekar
We study the problem of Reinforcement Learning (RL) using as few real-world samples as possible. A naive application of RL can be inefficient in large and continuous state spaces.…
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…
Sensor Assignment Algorithms to Improve Observability while Tracking Targets
Lifeng Zhou, Pratap Tokekar
We study two sensor assignment problems for multi-target tracking with the goal of improving the observability of the underlying estimator. We consider various measures of the obse…
Distributed Simultaneous Action and Target Assignment for Multi-Robot Multi-Target Tracking
Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams +1
We study a multi-robot assignment problem for multi-target tracking. The proposed problem can be viewed as the mixed packing and covering problem. To deal with a limitation on both…
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment
Lifeng Zhou, Pratap Tokekar
We study two sensor assignment problems for multi-target tracking with the goal of improving the observability of the underlying estimator. In the restricted version of the problem…
Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams
Lifeng Zhou, Pratap Tokekar
We study the problem of reducing the amount of communication in decentralized target tracking. We focus on the scenario where a team of robots are allowed to move on the boundary o…
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations
Kevin Yu, Ashish Kumar Budhiraja, Pratap Tokekar
We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV…