Papers

10

Total Citations

631

H-Index

9

About

Robert Leeb is a prominent researcher in the field of brain-computer interfaces (BCIs), with a particular focus on assistive technology and telepresence robotics for individuals with severe motor disabilities. His work sits at the intersection of neuroscience, human-computer interaction, and rehabilitation engineering, consistently addressing one of the most pressing challenges in the field: translating laboratory BCI systems into real-world, life-changing applications. Leeb's most influential contributions include pioneering the use of BCI-controlled telepresence robots to enhance the independence of motor-disabled users, a line of work that has garnered over 180 citations for a single paper alone. His research on shared-control frameworks—where human brain signals and intelligent algorithms collaborate to drive robotic devices—has been particularly impactful, accumulating over 120 citations and demonstrating meaningful improvements in usability and safety. His 2013 study on transferring BCIs beyond the laboratory (165 citations) stands as a landmark demonstration that these technologies can perform reliably outside controlled settings. Beyond hardware and control systems, Leeb has explored adaptive assistance, EEG-based grasp intention detection, and hybrid BCI architectures, revealing a comprehensive vision for practical neural interfaces. His body of work collectively advances the goal of restoring autonomy and improving quality of life for people with profound physical impairments.

Research Focus

Key Achievements

9
H-Index
10
Papers
631
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities
182 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: École Polytechnique Fédérale de Lausanne, Interface (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago