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
Top Papers
- 1
- 2
- 3Untethered Soft Microrobots with Adaptive Logic Gates18 citations · 2023
- 4A distributed and parallel self-assembly approach for swarm robotics16 citations · 2019
- 5
- 64D Printing of Magnetically Responsive Materials and Their Applications14 citations · 2025
- 7
- 8A distributed self-assembly approach for hollow shape in swarm robotics6 citations · 2020