About

Mustafa Suphi Erden is a prominent robotics researcher whose work spans human-robot interaction, legged locomotion, robotic assistance, and medical robotics. His research is particularly distinguished by its focus on enabling intuitive physical collaboration between humans and robots, often without relying on conventional force sensors. His landmark 2010 paper on human-intent detection — cited 132 times — demonstrated that robots could interpret and respond to human physical guidance through contact alone, a significant breakthrough in physically interactive control. Erden has made substantial contributions to robotic-assisted manual welding, investigating how robots can compensate for hand impedance and support both novice and professional welders through intelligent assistance schemes. His comparative studies of hand impedance across skill levels, accumulated nearly 200 citations collectively, have deepened understanding of human motor control in skilled tasks. Early in his career, he advanced six-legged robot locomotion through reinforcement learning and novel torque-distribution methods, garnering nearly 150 citations across two influential papers. His work also extends to humanoid robot expressiveness and medical imaging, including endomicroscopic mosaicking via visual servoing. Across disciplines, Erden's research consistently bridges fundamental robotics theory with meaningful real-world human-centered applications.

Research Focus

Key Achievements

18
H-Index
46
Papers
1,072
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Human-Intent Detection and Physically Interactive Control of a Robot Without Force Sensors
132 citations · 2010
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 71
🏛 Institutions: École Nationale Supérieure de Techniques Avancées, Delft University of Technology, Middle East Technical University, Heriot-Watt University, École Polytechnique Fédérale de Lausanne, École Normale Supérieure - PSL

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago