Papers

8

Total Citations

184

H-Index

7

About

Jie Kong is a pioneering researcher at the forefront of soft robotics and intelligent materials, whose work seamlessly integrates self-healing systems, adaptive logic, and advanced sensing technologies. His major contributions lie in developing entirely intrinsic self-healing and stretchable cross-linked networks for soft robotic-adapted multimodal sensors, a breakthrough that has garnered 83 citations and promises to revolutionize flexible sensing in intelligent robotics. Kong’s innovative MXene-based pressure sensors, achieving ultrahigh sensitivity in small pressure ranges for voiceless speaking and abnormal writing recognition (21 citations), showcase his ability to merge materials science with human-machine interaction. He has further advanced the field by embedding adaptive logic gates directly into untethered soft microrobots (18 citations), moving beyond simple stimulus-response to intelligent, autonomous behaviors. His work on distributed self-assembly for swarm robotics and 4D printing of magnetically responsive materials highlights a commitment to scalable, adaptive systems. With notable achievements including the design of bio-inspired grippers for precision agriculture and ionically conductive organohydrogels for electromagnetic wave absorption, Kong’s interdisciplinary research—spanning from microrobots to smart textiles—positions him as a leader in creating the next generation of sustainable, intelligent soft robotic systems.

Research Focus

Key Achievements

7
H-Index
8
Papers
184
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Soft Robotic‐Adapted Multimodal Sensors Derived from Entirely Intrinsic Self‐Healing and Stretchable Cross‐Linked Networks
83 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Northwestern Polytechnical University, Jiangsu Academy of Agricultural Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago