Jinghao Chen
Papers
1
Total Citations
4
H-Index
1
About
Jinghao Chen is a leading researcher at the intersection of biomimetic robotics and soft sensing, whose work focuses on equipping robotic fish with the sensory capabilities to perceive and respond to their fluid environments. His most cited paper, "Hydrodynamic pressure sensing for a biomimetic robotic fish caudal fin integrated with a resistive pressure sensor" (2024), introduces a novel approach by embedding a resistive pressure sensor directly into the caudal fin of a robotic fish. This integration allows for real-time, distributed hydrodynamic pressure sensing—a significant advance over traditional discrete sensor mounts that miss crucial flow details. By enabling the robotic fin to "feel" water pressure changes during swimming, Chen’s work provides a foundation for more agile, adaptive underwater robots capable of precise maneuvering and energy-efficient locomotion. His research bridges soft robotics, sensor design, and bio-inspired control, with implications for environmental monitoring and underwater exploration. With 4 citations to date on this foundational paper, Chen is establishing a new paradigm in robotic sensory feedback, demonstrating how embedded micro-sensors can unlock the full potential of biomimetic swimming.
Research Focus
Key Achievements
Top Papers
- 1