4 citations · 8 across the 7 of their papers we have counts for
7 papers
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar
Green Security Games with real-time information (GSG-I) add the real-time information about the agents' movement to the typical GSG formulation. Prior works on GSG-I have used deep…
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy
Shamak Dutta, Nils Wilde, Pratap Tokekar +1
We study the sample placement and shortest tour problem for robots tasked with mapping environmental phenomena modeled as stationary random fields. The objective is to minimize the…
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar
Centralized approaches for multi-robot coverage planning problems suffer from the lack of scalability. Learning-based distributed algorithms provide a scalable avenue in addition t…
Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous
Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan +4
We study a resource allocation problem for the cooperative aerial-ground vehicle routing application, in which multiple Unmanned Aerial Vehicles (UAVs) with limited battery capacit…
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning
Jun Liu, Murtaza Rangwala, Kulbir Singh Ahluwalia +5
Monitoring the health and vigor of grasslands is vital for informing management decisions to optimize rotational grazing in agriculture applications. To take advantage of forage re…
Algorithms for Visibility-Based Monitoring with Robot Teams
Pratap Tokekar, Ashish Kumar Budhiraja, Vijay Kumar
We study the problem of planning paths for a team of robots for visually monitoring an environment. Our work is motivated by surveillance and persistent monitoring applications. We…