受强制性开放获取政策约束的文章 - Payam Ghassemi, Ph.D.了解详情
可在其他位置公开访问的文章：10 篇
Scalable coverage path planning of multi-robot teams for monitoring non-convex areas
L Collins, P Ghassemi, ET Esfahani, D Doermann, K Dantu, S Chowdhury
2021 IEEE International Conference on Robotics and Automation (ICRA), 7393-7399, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Multi-robot task allocation in disaster response: Addressing dynamic tasks with deadlines and robots with range and payload constraints
P Ghassemi, S Chowdhury
Robotics and Autonomous Systems 147, 103905, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Learning scalable policies over graphs for multi-robot task allocation using capsule attention networks
S Paul, P Ghassemi, S Chowdhury
2022 International Conference on Robotics and Automation (ICRA), 8815-8822, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search
P Ghassemi, S Chowdhury
Journal of Computing and Information Science in Engineering, 2020
强制性开放获取政策： US National Science Foundation
Learning robot swarm tactics over complex adversarial environments
A Behjat, H Manjunatha, PK Kumar, A Jani, L Collins, P Ghassemi, ...
2021 international symposium on multi-robot and multi-agent systems (MRS), 83-91, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Ergonomic impact of multi-rotor unmanned aerial vehicle noise in warehouse environments
J Callanan, P Ghassemi, J DiMartino, M Dhameliya, C Stocking, M Nouh, ...
Journal of Intelligent & Robotic Systems 100, 1309-1323, 2020
强制性开放获取政策： US National Science Foundation
Using physiological measurements to analyze the tactical decisions in human swarm teams
H Manjunatha, JP Distefano, A Jani, P Ghassemi, S Chowdhury, K Dantu, ...
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Adaptive in situ model refinement for surrogate-augmented population-based optimization
P Ghassemi, A Mehmani, S Chowdhury
Structural and Multidisciplinary Optimization, 2020
强制性开放获取政策： US National Science Foundation
A penalized batch-Bayesian approach to informative path planning for decentralized swarm robotic search
P Ghassemi, M Balazon, S Chowdhury
Autonomous Robots 46 (6), 725-747, 2022
强制性开放获取政策： US National Science Foundation
Physics-Aware Surrogate based Optimization with Transfer Mapping Gaussian Processes: for Bio-inspired Flow Tailoring
P Ghassemi, A Behjat, C Zeng, SS Lulekar, R Rai, S Chowdhury
AIAA AVIATION 2020 FORUM, 3183, 2020
强制性开放获取政策： US Department of Defense
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