7 citations · 7 across the 5 of their papers we have counts for
7 papers
Learning Robot Swarm Tactics over Complex Adversarial Environments
Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar +8
To accomplish complex swarm robotic missions in the real world, one needs to plan and execute a combination of single robot behaviors, group primitives such as task allocation, pat…
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas
Leighton Collins, Payam Ghassemi, Ehsan T. Esfahani +3
This paper presents a novel multi-robot coverage path planning (CPP) algorithm - aka SCoPP - that provides a time-efficient solution, with workload balanced plans for each robot in…
Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Payam Ghassemi, Souma Chowdhury
Decentralized swarm robotic solutions to searching for targets that emit a spatially varying signal promise task parallelism, time efficiency, and fault tolerance. It is, however,…
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response
Payam Ghassemi, David DePauw, Souma Chowdhury
Multiple robotic systems, working together, can provide important solutions to different real-world applications (e.g., disaster response), among which task allocation problems fea…
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring
Payam Ghassemi, Sumeet Sanjay Lulekar, Souma Chowdhury
This paper presents an advancement to an approach for model-independent surrogate-based optimization with adaptive batch sampling, known as Adaptive Model Refinement (AMR). While t…
Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search
Payam Ghassemi, Souma Chowdhury
Swarm robotic search is concerned with searching targets in unknown environments (e.g., for search and rescue or hazard localization), using a large number of collaborating simple…