1 citations · 1 across the 3 of their papers we have counts for
3 papers
Learning Spatial Bimanual Action Models Based on Affordance Regions and Human Demonstrations
Björn S. Plonka, Christian Dreher, Andre Meixner +2
In this paper, we present a novel approach for learning bimanual manipulation actions from human demonstration by extracting spatial constraints between affordance regions, termed…
On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds
Holger Klein, Noémie Jaquier, Andre Meixner +1
The generation of energy-efficient and dynamic-aware robot motions that satisfy constraints such as joint limits, self-collisions, and collisions with the environment remains a cha…
A Riemannian Take on Human Motion Analysis and Retargeting
Holger Klein, Noémie Jaquier, Andre Meixner +1
Dynamic motions of humans and robots are widely driven by posture-dependent nonlinear interactions between their degrees of freedom. However, these dynamical effects remain mostly…