5 papers
Curve-Induced Dynamical Systems on Riemannian Manifolds and Lie Groups
Saray Bakker, Martin Schonger, Tobias Löw +2
Deploying robots in household environments requires safe, adaptable, and interpretable behaviors that respect the geometric structure of tasks. Often represented on Lie groups and…
TamedPUMA: safe and stable imitation learning with geometric fabrics
Saray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina +2
Using the language of dynamical systems, Imitation learning (IL) provides an intuitive and effective way of teaching stable task-space motions to robots with goal convergence. Yet,…
Pushing Through Clutter With Movability Awareness of Blocking Obstacles
Joris J. Weeda, Saray Bakker, Gang Chen +1
Navigation Among Movable Obstacles (NAMO) poses a challenge for traditional path-planning methods when obstacles block the path, requiring push actions to reach the goal. We propos…
A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers
Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy +5
This paper presents a Bayesian optimization framework for the automatic tuning of shared controllers which are defined as a Model Predictive Control (MPC) problem. The proposed fra…
Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics
Saray Bakker, Luzia Knoedler, Max Spahn +2
In this paper, we address the problem of real-time motion planning for multiple robotic manipulators that operate in close proximity. We build upon the concept of dynamic fabrics a…