Wenjie Cai

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About

Wenjie Cai is a researcher specializing in embedded systems, robotics, and automatic control technologies. His work focuses on the practical application of dynamics and control theory to develop intelligent, autonomous machines. His most notable contribution is the design of a two-wheeled self-balancing robot based on the ESP32 microcontroller, a project that integrates sensor fusion, real-time data processing, and decision-making algorithms to achieve dynamic stability. This research, published in 2021 and garnering 3 citations, demonstrates a cost-effective approach to building robots capable of sensing and responding to their environment, with promising applications in industrial automation and service robotics. By leveraging accessible hardware like the ESP32, Cai’s work bridges the gap between theoretical control systems and tangible, deployable solutions, offering a valuable reference for students and engineers exploring low-cost, high-performance robotics platforms.