58 citations · 61 across the 4 of their papers we have counts for
4 papers
The Shortcomings of Force-from-Motion in Robot Learning
Elie Aljalbout, Felix Frank, Patrick van der Smagt +1
Robotic manipulation requires accurate motion and physical interaction control. However, current robot learning approaches focus on motion-centric action spaces that do not explici…
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
Felix Frank, Alexandros Paraschos, Patrick van der Smagt +1
Placing robots outside controlled conditions requires versatile movement representations that allow robots to learn new tasks and adapt them to environmental changes. The introduct…
Fast Approximate Geodesics for Deep Generative Models
Nutan Chen, Francesco Ferroni, Alexej Klushyn +3
The length of the geodesic between two data points along a Riemannian manifold, induced by a deep generative model, yields a principled measure of similarity. Current approaches ar…
Active Learning based on Data Uncertainty and Model Sensitivity
Nutan Chen, Alexej Klushyn, Alexandros Paraschos +2
Robots can rapidly acquire new skills from demonstrations. However, during generalisation of skills or transitioning across fundamentally different skills, it is unclear whether th…