Papers
11
Total Citations
189
H-Index
6
About
Jin Tao is a pioneering researcher in bio-inspired robotics and intelligent sensing systems, with a focus on triboelectric nanogenerators (TENGs) for tactile perception and autonomous navigation. His most impactful contribution is the development of underwater bionic whisker sensors, as demonstrated by his highly cited 2022 paper (86 citations), which enables passive vortex perception for aquatic robots. Tao’s work on a triboelectric-based artificial whisker (41 citations) addresses a critical challenge in robotics—designing efficient tactile sensors for reactive obstacle avoidance and local mapping in unknown environments. He has also made significant strides in pipeline inspection robotics, with two early papers (2005) on magnetic flux leakage (MFL) devices for offshore oil pipeline defect detection, showcasing his long-standing expertise in mechatronics and industrial automation. His research extends to distributed formation control for anonymous mobile robots (13 citations) and hybrid bionic spherical robots inspired by sea urchins and tumbleweeds (2022). With over 180 total citations across his top papers, Tao’s work bridges fundamental triboelectric principles with practical robotic applications, offering innovative solutions for autonomous systems in challenging environments. His achievements highlight a career dedicated to advancing sensor technology and robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Magnetic Flux Leakage Device for Offshore Oil Pipeline Defect Inspection7 citations · 2005
- 7
- 8
- 9Tracking control of parafoil airdrop robot in wind environments3 citations · 2017
- 10