W. Jongkind

Delft University of Technology

Papers

9

Total Citations

186

H-Index

6

About

W. Jongkind’s research career is defined by a remarkable fusion of robotics, tactile sensing, and medical instrumentation. His most influential work, “Slip detection by tactile sensors” (94 citations), developed pioneering algorithms for a rubber-based tactile matrix sensor, enabling robots to detect and respond to object slippage—a foundational contribution to dexterous manipulation. This work emerged from a collaboration between the University of Bologna and Delft University of Technology. Jongkind also made significant strides in minimally invasive surgery, designing a hydraulic forceps with force-feedback (43 citations) and advancing force reflection for laparoscopic tools (16 citations), directly improving surgical precision and safety. Beyond medical robotics, his early work on an autonomous cow-milking robot control system (7 citations) showcases his versatility in applying control theory to real-world automation. His contributions to mobile robot motion control (6 citations) and path-constrained time-optimal motion algorithms (4 citations) further demonstrate his deep expertise in hierarchical planning and control systems. Through these diverse projects, Jongkind has left a lasting impact on tactile sensing, surgical robotics, and autonomous systems, bridging fundamental research with practical, life-improving technologies.

Research Focus

Key Achievements

6
H-Index
9
Papers
186
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Slip detection by tactile sensors: algorithms and experimental results
94 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Delft University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago