3 citations · 5 across the 7 of their papers we have counts for
7 papers
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Effective coordination and cooperation among agents are crucial for accomplishing individual or shared objectives in multi-agent systems. In many real-world multi-agent systems, ag…
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik, Hamid Osooli, Paul Robinette +2
Relational networks within a team play a critical role in the performance of many real-world multi-robot systems. To successfully accomplish tasks that require cooperation and coor…
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Cooperative multi-agent reinforcement learning (MARL) approaches tackle the challenge of finding effective multi-agent cooperation strategies for accomplishing individual or shared…
Validating Drone Trust Testing in Navigation Deviation Cases in Simulation
Zahra Rezaei Khavas, Edwin Meriaux, Amin Majdi +1
Developing videos for trust testing is very time-consuming, expensive and potentially dangerous. For trust tests, it requires a person to be flying the drone while another might be…
A Multi-Robot Task Assignment Framework for Search and Rescue with Heterogeneous Teams
Hamid Osooli, Paul Robinette, Kshitij Jerath +1
In post-disaster scenarios, efficient search and rescue operations involve collaborative efforts between robots and humans. Existing planning approaches focus on specific aspects b…
DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I
Adam Norton, Reza Ahmadzadeh, Kshitij Jerath +18
This report reviews all results derived from performance benchmarking conducted during Phase I of the Development and Execution of Comprehensive and Integrated Subterranean Intelli…