FOUNDER

Founder Wen Kai has over 10 years of experience in the new energy vehicle (NEv) industry chain, autonomous driving R&D, and team management.He is currently an on-the-job Ph.D. candidate in Advanced Manufacturing at Tsinghua University. Previously, he served as the Deputy Chief Expert at GAC Group's Automotive Engineering Institute and was a founding member of GAC's first internally incubated tech company, Guangzhou Greater Bay Tech-nology Co., Ltd, where he participated in the entire zero-to-one entrepreneurship journey as the President's Assistant.As a core technical leader, he con-tributed to the development of all early mass-produced NEVs and the first autonomous driving prototype at GAc. He has been repeatedly recognized with the GAC R&D Center Technology Progress Award and Annual Outstanding Employee Award, holds 11 national patents, and was honored with the 2016 China Automotive Industry Science & Technology Second Prize.

Dr. Ji'an Pan, Co-founder, is currently an Associate Professor and Doctoral Supervisor at the School of Mechanical Engineering, Northeastern University. He earned his Ph.D. in 2024 from the School of Vehi-cle and Mobility, Tsinghua University, under the guidance of Academician Keqiang Li, a renowned expert in the field of intelligent connected vehicles. His current research focuses on control algorithms for intelligent connected vehicles and embodied intelligence algorithm technologies.

COMPANY PROFILE

Guangzhou mingruirobotics Co., Ltd is a Guangzhou-based embodied intelligent robotics startup. Since its founding in March 2024, the company has already completed the development of a functional prototype and collaborated with GAC Group' s Aion factory team to finalize the product definition for mass-produced robots.In terms of forward-looking technology development, the company has partnered with the National University of Singapore(NUS) Guangzhou Innovation Research Institute to establish a Joint Laboratory for Embodied Intelligent Robotics. Future plans include setting up an al-gorithm R&D center for embodied intelligence and multimodal large models in Singapore.

Technical Approach

Technical Approach: An end-to-end multimodal large model-based robotics development framework, designed to create generalizable embodied intelligent robots that address the limited adaptability of traditional solutions.

Application Scenario

Targeting the pain point of low automation rates in automotive final assembly processes, we have developed a motion capture + vision multi-sensor fusion data acquisition system, starting with material sorting as the entry point. This approach enables targeted collection of real-world production data in automo-tive manufacturing, building a core data moat for intelligent robotics.

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