Yongliang Yang

About

Yongliang Yang is a robotics researcher whose work spans bioinspired robotics, soft robotics, and swarm intelligence. His research draws creative inspiration from biological systems — from rock-climbing fish to manta rays to cellular collectives — translating nature's engineering principles into practical robotic designs. Among his most impactful contributions is a 2023 study (23 citations) uncovering the adhesion mechanics of *Beaufortia kweichowensis*, a fish capable of resisting forces 1,000 times its body weight while moving rapidly — insights with direct applications for climbing robots. He also developed a soft manta ray robot (22 citations) driven by bilateral bionic muscle actuators, advancing the field of underwater biomimetic locomotion. Yang's work in swarm robotics is equally significant, with platforms like Morphobot and RoboFold enabling self-organized robot collectives inspired by morphogenesis and protein folding. His research on physical interactions, optical communication, and emergent formation behaviors offers novel solutions for robot swarms operating under severe sensory and computational constraints. An early paper on China's robot industry (2015) reflects his broader perspective on robotics development. Collectively, his work bridges fundamental biological discovery and cutting-edge robotic engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Uncover rock-climbing fish's secret of balancing tight adhesion and fast sliding for bioinspired robots

   23 citations · 2023
2. 2
   Soft Manta Ray Robot Based on Bilateral Bionic Muscle Actuator

   22 citations · 2024
3. 3
   Morphobot: A Platform for Morphogenesis in Robot Swarm

   9 citations · 2023
4. 4
   Applying the intrinsic principle of cell collectives to program robot swarms

   6 citations · 2024
5. 5
   The rise of the robot industry in China

   6 citations · 2015
6. 6
   Physical Interactions Segregate Robot Swarms

   5 citations · 2024
7. 7
   Self-organized aggregation with physical interaction

   3 citations · 2023
8. 8
   Self-Organized Circling of Swarm Robots using Optical Communications

   3 citations · 2023
9. 9
   RoboFold: A platform for Protein-folding Inspired Robot Swarms *

   2 citations · 2023
10. 10
    Emergent Dynamic Formation through Optical Interactions in a Robot Swarm

    2 citations · 2024

Key Collaborators

Contact & Links