Daye Chen

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About

Daye Chen is a robotics researcher specializing in the kinematic modeling, design, and control of novel two-wheeled mobile robots, with a particular focus on Essboard-inspired platforms. Chen’s major contributions include developing a kinematic model based on coordinate transformation to address the large steering errors caused by hysteresis in passive wheels—a critical advancement for improving the precision of Essboard-like robots. This work, detailed in their most-cited paper (2018, 8 citations), established a foundation for subsequent studies on these unconventional vehicles. Chen further extended this research by proposing the Essbot, a self-balanced Essboard-like mobile robot, and by exploring modular design methods for SCARA robots, demonstrating versatility across robotic platforms. With a cumulative citation count exceeding 24, Chen’s work has influenced the development of more agile and accurate two-wheeled mobile systems. Notably, their 2020 paper on kinematic modeling and verification provided rigorous experimental validation, bridging theoretical models with practical application. Chen’s research offers valuable insights for students and engineers interested in nonholonomic robotics, balancing control, and biomimetic locomotion.