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cs.RO2024
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
Connor Mattson, Anurag Aribandi, Daniel S. Brown
We study the problem of cross-embodiment inverse reinforcement learning, where we wish to learn a reward function from video demonstrations in one or more embodiments and then tran…
cs.RO2023
Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots
Connor Mattson, Jeremy C. Clark, Daniel S. Brown
We study the problem of determining the emergent behaviors that are possible given a functionally heterogeneous swarm of robots with limited capabilities. Prior work has considered…