Papers

5

Total Citations

156

H-Index

4

About

Mathias Jordan is a pioneering researcher in rehabilitation robotics, with a focus on developing intelligent, human-centered systems for upper limb motor recovery. His work centers on the integration of exoskeleton technology, soft robotics, and brain-machine interfaces to create assistive devices that extend therapy beyond clinical settings into daily life. Jordan’s most cited paper, "Exoskeleton Technology in Rehabilitation: Towards an EMG-Based Orthosis System for Upper Limb Neuromotor Rehabilitation" (89 citations), introduces a groundbreaking EMG-controlled orthosis that provides adaptive support during real-world activities, emphasizing the importance of long-term patient autonomy. He further advanced human-robot interaction by measuring and improving the comfort of wearable exoskeletons (39 citations), addressing a critical barrier to user adoption. His research on pneumatic soft-actuators (15 citations) demonstrates precise trajectory control for inherently safe, compliant mechanisms, enabling gentle yet effective motion therapy. Jordan also explored multimodal brain-arm interfaces (11 citations) for complex robotic system operation, bridging neural control and physical assistance. His notable achievements include developing low-pressure fluidic servo-valves for lightweight haptic systems, showcasing his commitment to practical, wearable solutions. With a citation count exceeding 150, Jordan’s contributions are shaping the future of accessible, comfortable, and intelligent rehabilitation technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
156
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Exoskeleton Technology in Rehabilitation: Towards an EMG-Based Orthosis System for Upper Limb Neuromotor Rehabilitation
89 citations · 2013
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: German Research Centre for Artificial Intelligence, University of Bremen, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago