Chih-Han Yu

About

Chih-Han Yu is a robotics researcher whose work spans modular robotics, biologically-inspired control systems, and soft robotics. Drawing deeply from biological principles, Yu has made significant contributions to the design and control of self-adaptive robotic systems that mimic the elegance and robustness found in nature. Yu's most celebrated work includes the development of Morpho (2008, 74 citations), a self-deformable modular robot inspired by tensegrity models of cellular structure, demonstrating how biological deformation principles can translate into sophisticated robotic design. Complementing this, his research on shape memory alloy wires for soft orthotics (2011, 70 citations) highlights his ability to bridge robotics with practical biomedical applications. A recurring theme throughout Yu's career is decentralized, biologically-inspired control. His generalized distributed consensus framework for modular robots (2009, 46 citations) and subsequent self-adaptive frameworks demonstrate how simple local interactions among robotic agents can produce complex, coordinated global behaviors — much like flocking in nature. His earlier work applying reinforcement learning to quadruped obstacle negotiation (2006, 42 citations) further reflects his broad technical range. Collectively, Yu's research has garnered over 330 citations, establishing him as a meaningful contributor to intelligent, adaptive robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Morpho: A Self-Deformable Modular Robot Inspired by Cellular Structure

   74 citations · 2008
2. 2
   Applicability of Shape Memory Alloy Wire for an Active, Soft Orthotic

   70 citations · 2011
3. 3
   Self-adapting modular robotics: A generalized distributed consensus framework

   46 citations · 2009
4. 4
   Quadruped robot obstacle negotiation via reinforcement learning

   42 citations · 2006
5. 5
   A Self-adaptive Framework for Modular Robots in a Dynamic Environment: Theory and Applications

   27 citations · 2010
6. 6
   Biologically-inspired control for self-adaptive multiagent systems

   18 citations · 2010
7. 7
   Sensing-based shape formation on modular multi-robot systems: a theoretical study

   18 citations · 2008
8. 8
   Self-organization of environmentally-adaptive shapes on a modular robot

   16 citations · 2007
9. 9
   Biologically-Inspired Control for Multi-Agent Self-Adaptive Tasks

   10 citations · 2010
10. 10
    Mechanical Design and Locomotion of Modular-Expanding Robots

    9 citations · 2010

Key Collaborators

Contact & Links