Papers

4

Total Citations

25

H-Index

3

About

Tomasz Marek Lubecki is a researcher whose work bridges the critical fields of rehabilitation robotics and intelligent manufacturing. His primary research areas focus on developing intuitive human-machine interfaces (HMI) for assistive devices and advancing automated welding process monitoring. Lubecki’s most impactful contribution is in rehabilitation engineering, where he pioneered a muscle force estimation method using surface electromyography (sEMG) for a lower-extremities rehabilitation device. This work, cited 9 times, enables stroke patients to receive assistive torque by detecting their movement intention directly from muscle signals, making therapy more responsive and natural. He further refined this approach by developing an sEMG-based HMI for an active assistive robot (KAAD), cited 7 times, which provides an intuitive, transparent interface for user intent detection. In manufacturing, Lubecki has made notable strides in robotic welding quality assessment, creating an arc-sensing monitoring system that detects process inconsistencies in MIG/TIG welding. His 2015 and 2016 papers on this topic, with 6 and 3 citations respectively, demonstrate his versatility in applying sensor-based control to industrial automation. By combining expertise in biomedical signal processing and robotic process control, Lubecki’s work directly improves quality of life for rehabilitation patients while enhancing efficiency in manufacturing.

Research Focus

Key Achievements

3
H-Index
4
Papers
25
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Muscle force estimation method with surface EMG for a lower extremities rehabilitation device
9 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National University of Singapore, Singapore Institute of Manufacturing Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago