19 citations · 62 across the 17 of their papers we have counts for
7 papers · 1 filter
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…
Research Report -- Persistent Autonomy and Robot Learning Lab
S. Reza Ahmadzadeh
Robots capable of performing manipulation tasks in a broad range of missions in unstructured environments can develop numerous applications to impact and enhance human life. Existi…
Confidence-Based Skill Reproduction Through Perturbation Analysis
Brendan Hertel, S. Reza Ahmadzadeh
Several methods exist for teaching robots, with one of the most prominent being Learning from Demonstration (LfD). Many LfD representations can be formulated as constrained optimiz…
Design and Evaluation of a Bioinspired Tendon-Driven 3D-Printed Robotic Eye with Active Vision Capabilities
Hamid Osooli, Mohsen Irani Rahaghi, S. Reza Ahmadzadeh
The field of robotics has seen significant advancements in recent years, particularly in the development of humanoid robots. One area of research that has yet to be fully explored…
Contextual Autonomy Evaluation of Unmanned Aerial Vehicles in Subterranean Environments
Ryan Donald, Peter Gavriel, Adam Norton +1
In this paper we focus on the evaluation of contextual autonomy for robots. More specifically, we propose a fuzzy framework for calculating the autonomy score for a small Unmanned…