Papers
142
Total Citations
4,145
H-Index
30
About
Tianmiao Wang is a pioneering robotics researcher whose work spans biomimetic systems, soft robotics, underwater robotics, and intelligent autonomous systems. Based at Beihang University, Wang has made transformative contributions to how robots interact with complex, real-world environments. His landmark 2017 study on a biorobotic adhesive disc inspired by the remora suckerfish — capable of generating pull-off forces 340 times the disc's own weight — exemplifies his ability to translate biological principles into functional engineering solutions, earning over 300 citations. His extensive work on soft robotic grippers, including multimodal enveloping designs and variable-length pneumatic systems, has fundamentally advanced dexterous manipulation in delicate and aquatic settings, collectively accumulating hundreds of citations. Wang's early contributions include the Sambot self-assembly modular robot system (2010) and a biomimetic robotic fish, demonstrating his long-standing interest in adaptive, reconfigurable machines. His research extends to medical robotics — notably robot-assisted teleneurosurgery — and intelligent unmanned autonomous systems. With multiple papers exceeding 100 citations and a body of work bridging marine, surgical, and soft robotics, Wang stands as a highly influential figure shaping the future of intelligent, biologically inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Universal soft pneumatic robotic gripper with variable effective length205 citations · 2016
- 4Current trends in the development of intelligent unmanned autonomous systems174 citations · 2017
- 5Sambot: A Self-Assembly Modular Robot System169 citations · 2010
- 6
- 7Modeling and experiments of a soft robotic gripper in amphibious environments126 citations · 2017
- 8Remote surgery case: robot-assisted teleneurosurgery124 citations · 2004
- 9Development of a two‐joint robotic fish for real‐world exploration123 citations · 2010
- 10A Soft Bionic Gripper with Variable Effective Length123 citations · 2018