Zengpeng Sun

Horizon Robotics (China), University of Chinese Academy of Sciences

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About

Zengpeng Sun is a robotics researcher whose work spans autonomous navigation, agricultural robotics, and intelligent perception systems. His research focuses on developing robust solutions for mobile robots operating in complex environments, with key contributions in simultaneous localization and mapping (SLAM), 3D reconstruction, and target tracking. Sun’s most impactful work, “CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint” (2023, 10 citations), provides a critical resource for advancing SLAM and 3D reconstruction by integrating semantic information and multi-sensor data—a foundational contribution for applications like floor sweeping and food delivery robots. His earlier work on an automatic peach-harvesting robot system (2018, 9 citations) demonstrates his ability to bridge perception and manipulation, using a fully connected neural network for accurate fruit detection under varying illumination. Sun also developed a robust target detection, tracking, and following system for indoor mobile robots (2017), employing real-time histogram of oriented gradient features. Through these contributions, Sun has established himself as a versatile researcher advancing both indoor service robotics and precision agriculture, with his datasets and algorithms enabling more intelligent, autonomous systems.