3 papers
cs.RO2024
Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING)
Simon Bachhuber, Ive Weygers, Thomas Seel
In this paper, we extend the Recurrent Inertial Graph-based Estimator (RING), a novel neural-network-based solution for Inertial Motion Tracking (IMT), to generalize across a large…
cs.RO2024
A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information
Simon Bachhuber, Alexander Pawluchin, Arka Pal +2
Many application domains, e.g., in medicine and manufacturing, can greatly benefit from pneumatic Soft Robots (SRs). However, the accurate control of SRs has remained a significant…
cs.RO2024
AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation
Michael Meindl, Simon Bachhuber, Thomas Seel
This work proposes Autonomous Iterative Motion Learning (AI-MOLE), a method that enables systems with unknown, nonlinear dynamics to autonomously learn to solve reference tracking…