Chuande Zhou

Chongqing University of Science and Technology

Papers

Total Citations

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About

Chuande Zhou is a robotics researcher whose work bridges intelligent control, precision manufacturing, and autonomous navigation. His primary research areas include robotic grinding force control, simultaneous localization and mapping (SLAM) for mobile robots, and modular cooking robot design. Zhou’s most impactful contribution is his development of a deep genetic algorithm-based method for robot grinding force tracking and compensation, which addresses critical challenges in machining complex-shaped cast workpieces—specifically correcting trajectory deviations that cause under- or over-grinding. This work has garnered 6 citations since 2023. In parallel, Zhou has advanced indoor mobile robot positioning through an improved RTABMAP algorithm, tackling the persistent problem of accuracy degradation over time in GNSS-denied environments (4 citations). His engineering versatility is further demonstrated by his modular design of a stir-frying device for cooking robots, integrating single-chip microcontroller control with mechanical structure optimization (4 citations). By combining deep learning with evolutionary algorithms for industrial robotics and enhancing visual SLAM reliability, Zhou is making tangible contributions to both manufacturing automation and service robotics, with his work cited across these interconnected domains.