5 papers
ErgoSurf: Ergodic Control for the Coverage of Unknown Surfaces
Stefan Schneyer, Timo Bachmann, Maged Iskandar +4
Contact-centric tasks on surfaces, ranging from inspection and cleaning to sanding and polishing, require robots to systematically cover the surface while maintaining stable contac…
Interpretable Robotic Friction Learning via Symbolic Regression
Philipp Scholl, Alexander Dietrich, Sebastian Wolf +4
Accurately modeling the friction torque in robotic joints has long been challenging due to the request for a robust mathematical description. Traditional model-based approaches are…
Online Multi-Contact Feedback Model Predictive Control for Interactive Robotic Tasks
Seo Wook Han, Maged Iskandar, Jinoh Lee +1
In this paper, we propose a model predictive control (MPC) that accomplishes interactive robotic tasks, in which multiple contacts may occur at unknown locations. To address such s…
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments
Michael G. Adam, Sebastian Eger, Martin Piccolrovazzi +10
As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the appli…
Learning-based adaption of robotic friction models
Philipp Scholl, Maged Iskandar, Sebastian Wolf +5
In the Fourth Industrial Revolution, wherein artificial intelligence and the automation of machines occupy a central role, the deployment of robots is indispensable. However, the m…