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eess.SY2024
Learning Optimal Interaction Weights in Multi-Agents Systems
Sara Honarvar, Yancy Diaz-Mercado
This paper presents a spatio-temporal inverse optimal control framework for understanding interactions in multi-agent systems (MAS). We employ a graph representation approach and m…
eess.SY2021
Modeling Human-Human Collaboration: A Connection Between Inter-Personal Motor Synergy and Consensus Algorithms
Sara Honarvar, Jin-OH Hahn, Tim Kiemel +2
Many day-to-day activities involve people working collaboratively toward reaching a desired outcome. Previous research in motor control and neuroscience have proposed inter-persona…