Publications (13)
Graph Attention Inference of Network Topology in Multi-Agent Systems
Akshay Kolli, Reza Azadeh, Kshitj Jerath
Accurately identifying the underlying graph structures of multi-agent systems remains a difficult challenge. Our work introduces a novel machine learning-based solution that levera…
Investigating the Generalizability of Assistive Robots Models over Various Tasks
Hamid Osooli, Christopher Coco, Johnathan Spanos +2
In the domain of assistive robotics, the significance of effective modeling is well acknowledged. Prior research has primarily focused on enhancing model accuracy or involved the c…
Parameter-Free Segmentation of Robot Movements with Cross-Correlation Using Different Similarity Metrics
Wendy Carvalho, Meriem Elkoudi, Brendan Hertel +1
Often, robots are asked to execute primitive movements, whether as a single action or in a series of actions representing a larger, more complex task. These movements can be learne…
Design of Fuzzy Logic Parameter Tuners for Upper-Limb Assistive Robots
Christopher Coco, Jonathan Spanos, Hamid Osooli +1
Assistive Exoskeleton Robots are helping restore functions to people suffering from underlying medical conditions. These robots require precise tuning of hyper-parameters to feel n…
One-Shot Multimodal Learning from Demonstration with Force-Constrained Elastic Maps
Brendan Hertel, Jonathan Spanos, Navya Garg +1
Robotic manipulation tasks often require simultaneous reasoning over motion and contact forces, yet most Learning from Demonstration (LfD) methods model only spatial trajectories a…
Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024
Reza Azadeh
Multi-Agent Reinforcement Learning (MARL) approaches have emerged as popular solutions to address the general challenges of cooperation in multi-agent environments, where the succe…