Zhigang Chen

Beijing University of Technology, Beijing Academy of Artificial Intelligence

Papers

Total Citations

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About

Zhigang Chen is a robotics researcher whose work focuses on the dynamic modeling and control of cubical robots, with a particular emphasis on the challenging problem of self-balancing on a single corner. His major contributions lie in the development of sophisticated control strategies for this unique, unstable platform. Chen has systematically explored various approaches, deriving dynamic models using the Lagrangian method and implementing controllers based on fuzzy PID, sliding mode control (SMC), and other techniques to achieve stable attitude control. His most cited work, "Dynamic Modeling of a Cubical Robot Balancing on Its Corner" (2017), has garnered 6 citations, establishing a foundational framework for this niche area of robotics. While his citation counts are modest, reflecting the specialized nature of his research, Chen’s work represents a dedicated and methodical exploration of a complex control problem, contributing valuable insights into the dynamics and stabilization of non-traditional robotic morphologies.