Papers
14
Total Citations
145
H-Index
6
About
Guofeng Tong is a leading researcher in robotics and artificial intelligence, with key contributions spanning humanoid robot design, robotic perception, and large-scale 3D scene understanding. His most cited work, "Virtual Entity-Based Rapid Prototype for Design and Simulation of Humanoid Robots" (40 citations), introduces a groundbreaking framework that streamlines the prototyping and simulation of complex robotic systems. Tong has also made significant strides in autonomous navigation and environmental mapping, as evidenced by his work on omni-directional vSLAM and 3D information retrieval using spherical compound eye cameras. His 2020 paper on the CSPC-Dataset (33 citations) provides a vital benchmark for LiDAR point cloud semantic segmentation, advancing the field of autonomous driving and mobile robotics. Tong’s research extends to human-robot interaction, exemplified by his development of a Chinese chess-playing robot, and to efficient robotic grasping algorithms. With a career spanning foundational work in component-based robot software architecture and embedded platforms, Tong’s cumulative impact—reflected in over 130 citations—demonstrates his enduring influence on both theoretical and applied robotics, making him a pivotal figure for students and researchers exploring intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3A component based design framework for robot software architecture15 citations · 2009
- 4Human-computer interactive gaming system - a chinese chess robot10 citations · 2009
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- 7A fast search algorithm based on image pyramid for robotic grasping5 citations · 2017
- 8An Embedded Platform for Intelligent Mobile Robot5 citations · 2006
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