Papers
10
Total Citations
555
H-Index
7
About
Jiangtao Su is an emerging leader in soft robotics and electronic skin research, whose work sits at the intersection of materials science, sensory engineering, and robotic manipulation. His research focuses on developing biologically inspired sensing systems that endow robots with human-like tactile perception, enabling dexterous interaction with complex environments. Su's most cited work, "Sensing in Soft Robotics" (2023, 311 citations), established him as a key voice in articulating the challenges and opportunities facing sensory integration in soft robotic systems. Building on this foundation, he has pioneered advances in multi-modal mechanoreceptors, versatile adhesive electronic skins, and sensorized soft grippers that replicate the nuanced capabilities of natural skin — including pressure, temperature, texture, and slip detection. His contributions to stretchable electronics, including thermal management solutions for flexible devices, further demonstrate the breadth of his technical expertise. With a growing body of work accumulating over 550 citations across publications spanning 2023 to 2025, Su has rapidly established significant influence in the field. His research holds particular promise for applications in humanoid robotics, prosthetics, and autonomous manipulation, making him a researcher whose work students and engineers in robotics and smart materials would do well to follow closely.
Research Focus
Key Achievements
Top Papers
- 1Sensing in Soft Robotics311 citations · 2023
- 2Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots71 citations · 2025
- 3Versatile adhesive skin enhances robotic interactions with the environment51 citations · 2025
- 4Skin‐Inspired Multi‐Modal Mechanoreceptors for Dynamic Haptic Exploration43 citations · 2024
- 5
- 6Bioarchitectonics-inspired soft grippers with cutaneous slip perception17 citations · 2025
- 7
- 8Sensorized Soft Skin for Dexterous Robotic Hands6 citations · 2024
- 9
- 10