Papers
11
Total Citations
169
H-Index
6
About
Feili Hou is a pioneering researcher in modular self-reconfigurable robotics, with a primary focus on the computational and algorithmic challenges of reconfiguration planning. Her work addresses the fundamental problem of how modular robots—composed of many identical, autonomous units—can autonomously change their shape to adapt to new tasks or environments. Her most influential contribution is a formal analysis of the computational complexity of optimal reconfiguration planning for chain-type modular robots, establishing that finding the minimal number of steps to transform between configurations is computationally hard. She also developed a distributed, dynamic reconfiguration algorithm that enables robots to self-reconfigure autonomously without centralized control, a key advance for scalability and robustness. Her work on hormone-inspired control provided a mathematical foundation for coordinating distributed robotic modules, and she explored practical applications such as wheeled locomotion for payload carrying. With over 160 citations across her top papers, Hou’s research has shaped the theoretical and algorithmic foundations of self-reconfigurable robotics, influencing subsequent work in autonomous systems and modular robot control.
Research Focus
Key Achievements
Top Papers
- 1Graph-based optimal reconfiguration planning for self-reconfigurable robots53 citations · 2013
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- 4Wheeled locomotion for payload carrying with modular robot13 citations · 2008
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- 6Multifunctional behaviors of reconfigurable superbot robots6 citations · 2007
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- 10Self-reconfiguration planning for modular robots3 citations · 2011