73 citations · 115 across the 28 of their papers we have counts for
4 papers · 1 filter
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
Geoffrey Clark, Joseph Campbell, Heni Ben Amor
We present Model-Predictive Interaction Primitives -- a robot learning framework for assistive motion in human-machine collaboration tasks which explicitly accounts for biomechanic…
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis, Joseph Campbell, Mariano Phielipp +3
Imitation learning is a popular approach for teaching motor skills to robots. However, most approaches focus on extracting policy parameters from execution traces alone (i.e., moti…
Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking
Geoffrey Clark, Joseph Campbell, Seyed Mostafa Rezayat Sorkhabadi +2
We propose in this paper Periodic Interaction Primitives - a probabilistic framework that can be used to learn compact models of periodic behavior. Our approach extends existing fo…
Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts
Joseph Campbell, Katsu Yamane
This paper presents a learning-from-demonstration (LfD) framework for teaching human-robot social interactions that involve whole-body haptic interaction, i.e. direct human-robot c…