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Zeng Long

发布时间:2025-06-03

Associate Professor, Doctoral Supervisor, PhD from Hong Kong University of Science and Technology; Leader of the Intelligent Manufacturing and Machine Vision Research Group; Director of Tsinghua Purdue Intelligent Service Robot Technology Joint Research Center; Guangzhou Fuwei Intelligent Technology, co-founder.

The research group has long focused on industrial embodied intelligence technology, especially deep learning theory, methods, and techniques for intelligent manufacturing, and applied them to embodied intelligent industrial robots and service robots, embodied intelligent flexible assembly systems, and intelligent CAD/CAM industrial software. The research group has recently focused on researching and implementing industrial basic models (including assembly process basic models, hand drawn design basic models), deep learning methods for industrial parameterized part point clouds, and embodied intelligence big and small brain technology frameworks for industrial scenarios. Specific technologies include semantic maps, knowledge graphs, embodied intelligence grasping, humanoid perception and decision-making, virtual real fusion simulation technology, 3D reconstruction AIGCDefect detection, etc. The research group has published over 80 high-level academic papers in top global conferences and journals such as JMS (Impact Factor 12.2) and RCIM (Impact Factor 9.2), Global Robotics and Computer Vision Summit (ICRA, IROS, RSS, CVPR, ECCV), and Computer Graphics; Hosted over 25 national and corporate projects, including the project leader of the National Key R&D Program Industrial Software, National Natural Science General Project, Youth Project, Guangdong Provincial Natural Science Foundation General Project, Shenzhen Science and Technology Major Project, Technology Attack, Discipline Layout Project, with research funding exceeding 25 million yuan in the past 5 years; Applied for and authorized over 40 invention patents, and successfully completed the industrialization of research achievements in reconfigurable flexible assembly and visual robotic arm grasping, creating significant economic benefits.

Tip: The research group is recruiting postdoctoral, doctoral, and master's students from mechanical engineering, computer technology, automation, and other fields on a long-term basis.

Please refer to the Github account jackyzengl for the open source code, public datasets, and team English website of the research group.


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