Scholar
Univ.-Prof. Dr. Elmar Rueckert
Google Scholar ID: EKUvWkkAAAAJ
Chair of Cyber-Physical-Systems at Montanuniversität Leoben
Citations & Impact
Citations
865
H-index
17
i10-index
29
Publications
20
Co-authors
42
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'Instance segmentation pipeline for etch pit detection and prismatic slip characterization on silicon carbide substrates' accepted by Engineering Applications of Artificial Intelligence (Sep 2025)
- Paper 'Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling' accepted by Transactions on Machine Learning Research (TMLR) (Aug 2025)
- Paper 'Foot Placement Prediction in Real-Time Using Probabilistic Movement Primitives' accepted at Humanoids 2025 (Jul 2025)
- Paper 'Sparsifying instance segmentation models for efficient vision-based industrial recycling' accepted at ECML 2025 (Jul 2025)
- MINEView project granted funding by FFG for autonomous mining systems (Jul 2025)
- Joint grant awarded to establish an Innovation Lab for automation, robotics, and AI (Jul 2025)
- Paper 'EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial…' accepted at ICRA 2025 (Jan 2025)
- Paper 'Privacy-Aw...' accepted at ICLR 2025 (Jan 2025)
Background
- Professor and Chair of Cyber-Physical Systems at Montanuniversität Leoben, Austria
- Research at the intersection of artificial intelligence and autonomous systems
- Developing foundation models for robotics
- Focus areas include robot skill learning, dexterous and visual–tactile manipulation, reinforcement learning, self-supervised, active/interactive, and intrinsically motivated learning
- Investigating inference and reasoning mechanisms for robot generalization and adaptation in complex environments
- Applications in humanoid robotics, industrial production, recycling, and mining to enhance safety, efficiency, and sustainability through intelligent robotic solutions
