2 citations · 4 across the 9 of their papers we have counts for
9 papers
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal +4
Learning dexterous manipulation skills presents significant challenges due to complex nonlinear dynamics that underlie the interactions between objects and multi-fingered hands. Ko…
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Pierce Howell, Max Rudolph, Reza Torbati +2
Recent advances in multi-agent reinforcement learning (MARL) are enabling impressive coordination in heterogeneous multi-robot teams. However, existing approaches often overlook th…
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction
Pierce Howell, Jack Kolb, Yifan Liu +1
Effective and fluent close-proximity human-robot interaction requires understanding how humans get habituated to robots and how robot motion affects human comfort. While prior work…
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation
Sukriti Singh, Anusha Srikanthan, Vivek Mallampati +1
Task allocation can enable effective coordination of multi-robot teams to accomplish tasks that are intractable for individual robots. However, existing approaches to task allocati…
Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction
Sam Scheele, Pierce Howell, Harish Ravichandar
Effective close-proximity human-robot interaction (CP-HRI) requires robots to be able to both efficiently perform tasks as well as adapt to human behavior and preferences. However,…
Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams
Vivek Mallampati, Harish Ravichandar
Task allocation in heterogeneous multi-agent teams often requires reasoning about multi-dimensional agent traits (i.e., capabilities) and the demands placed on them by tasks. Howev…