Zhenpeng Di

Guangxi University of Finance and Economics

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Total Citations

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About

Zhenpeng Di is a researcher at the forefront of intelligent robotics, specializing in the integration of computer algorithms and machine vision to advance autonomous navigation. His most-cited work, "Design of robot automatic navigation under computer intelligent algorithm and machine vision" (2022), has garnered 28 citations, reflecting its impact on the field. In this study, Di developed a novel framework that synergizes intelligent algorithms with visual perception systems, enabling robots to navigate complex environments with enhanced accuracy and adaptability. This contribution addresses critical challenges in real-time path planning and obstacle avoidance, offering practical solutions for applications ranging from industrial automation to service robotics. Di’s research bridges theoretical advances in computer science with tangible engineering outcomes, making his work a valuable resource for students and researchers exploring autonomous systems. His focus on algorithm-driven machine vision underscores a commitment to creating more efficient, reliable robotic platforms, positioning him as an emerging voice in the intersection of artificial intelligence and robotics engineering.