most citedAI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation

9 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY20242 cited

Predictive Energy Management for Recuperation Axles in Refrigerated Trailers

Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann +3

Refrigerated truck trailers are currently mainly operated with environmentally harmful diesel units; an alternative is to operate the refrigeration unit with electrical energy. How…

eess.SY2024

Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline

Jan-Hendrik Ewering, Björn Volkmann, Simon F. G. Ehlers +2

Intelligent real-world systems critically depend on expressive information about their system state and changing operation conditions, e.g., due to variation in temperature, locati…

cs.RO2024

Autonomous Iterative Motion Learning (AI-MOLE) of a SCARA Robot for Automated Myocardial Injection

Michael Meindl, Raphael Mönkemöller, Thomas Seel

Stem cell therapy is a promising approach to treat heart insufficiency and benefits from automated myocardial injection which requires highly precise motion of a robotic manipulato…

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.RO20241 cited

Towards Optimized Parallel Robots for Human-Robot Collaboration by Combined Structural and Dimensional Synthesis

Aran Mohammad, Thomas Seel, Moritz Schappler

Parallel robots (PR) offer potential for human-robot collaboration (HRC) due to their lower moving masses and higher speeds. However, the parallel leg chains increase the risks of…