Papers

9

Total Citations

336

H-Index

7

About

Sunil L. Kukreja is a leading researcher at the intersection of soft robotics, tactile sensing, and neuromorphic engineering. His work focuses on creating intelligent, compliant robotic systems that can safely interact with humans and delicate objects, drawing inspiration from biological sensory processing. Kukreja’s major contributions include the development of a hybrid tele-manipulation system featuring a sensorized 3D-printed soft gripper and a fabric-based haptic glove (106 citations), which enhances remote grasping with tactile feedback. He also pioneered an extreme learning machine-based neuromorphic tactile system for texture recognition (100 citations), advancing artificial touch toward human-like efficiency. His innovations extend to bidirectional soft pneumatic fabric actuators for grasping (40 citations) and a compliant modular robotic hand with embedded fabric force sensors (19 citations), enabling versatile and safe manipulation. Kukreja’s work on event-based tactile encoding and neuromorphic vision for real-time robot tracking demonstrates his commitment to energy-efficient, biologically inspired control. His research has significant implications for prosthetics, rehabilitation robotics, and human-robot interaction, establishing him as a key figure in the development of soft, sensorized robotic systems.

Research Focus

Key Achievements

7
H-Index
9
Papers
336
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Tele-Manipulation System Using a Sensorized 3-D-Printed Soft Robotic Gripper and a Soft Fabric-Based Haptic Glove
106 citations · 2017
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: National University of Singapore, Armstrong Flight Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago