Papers

3

Total Citations

13

H-Index

2

About

Jiaqi Shao is a rising innovator in soft robotics and intelligent systems, whose work pushes the boundaries of bio-inspired actuation and autonomous control. Shao’s primary research focuses on developing high-performance soft actuators that overcome the traditional trade-offs between force, precision, and safety—a critical challenge in human–machine interaction. Their most cited work, “A Pneumatic Flexible Linear Actuator Inspired by Snake Swallowing” (2024, 7 citations), introduces a novel design that achieves long-distance, high-precision motion while maintaining compliance, offering a breakthrough for applications requiring both reach and accuracy. Shao also explores the integration of rigid and flexible components, as seen in their study on a “Rigid-Flexible Coupling Oscillator for Pneumatic Autonomous Robots” (2024, 1 citation), which enhances oscillation frequency and output power for faster robotic locomotion. Beyond robotics, Shao addresses pressing societal needs through their work on “Technology of Internet of Things Responding to Natural Disasters” (2021, 5 citations), demonstrating how IoT systems can mitigate disaster impacts like power failure and communication breakdown. With over 13 citations across their early-career publications, Shao is establishing a reputation for tackling fundamental engineering trade-offs while contributing to real-world resilience. Their interdisciplinary approach—bridging biomimicry, pneumatics, and IoT—positions them as a promising voice in the next generation of robotics and smart systems research.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Pneumatic Flexible Linear Actuator Inspired by Snake Swallowing
7 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Shanghai University, Jiangsu Second Normal University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago