Muhuan Wu

About Me

Welcome to my homepage! I am currently a core developer and project manager at Moham Digital Technology Co., Ltd., focusing on large language model applications. My work includes leading projects such as RAG-Agent and Text2SQL while utilizing frameworks like LangChain, ModelScope, and Camel-AI. In addition to large language models, I have contributed to diverse AI applications, including knowledge graphs, mechanical design, speech-to-text systems, and 3D posture detection, delivering comprehensive AI algorithm support for my organization.

I hold a Bachelor’s degree in Mechatronics and Robotic Systems from Xi’an Jiaotong-Liverpool University. During my undergraduate studies, under the guidance of Prof. Chun Zhao, I participated in RoboMaster 2019 as a vision team member, where I gained hands-on experience in robotics competitions. Separately, my final year project, supervised by Prof. Quan Zhang and Prof. Min Chen, focused on developing an industrial robotic system that integrated voice and vision recognition for control.

I later earned a Master’s degree in Biorobotics from the University of Bristol, under the mentorship of Dr. Dandan Zhang and Prof. Nathan Lepora. My research concentrated on reinforcement learning algorithms for tactile sensors, utilizing advanced simulation platforms such as Isaac Gym and Isaac Sim.

With a strong foundation in robotics and AI, I am passionate about applying cutting-edge technologies to solve multidisciplinary challenges and drive innovation.

Research Interests

• Robotics: Pattern Recognition, Deep Learning, Reinforcement Learning, Advanced Control
• Large Language Model: RAG, Text2SQL, Multi-Agents

News

• [Jan. 2025] Our team has accomplished the baseline of RAG-Agent and Text2SQL codes.
• [Oct. 2024] The paper about Multimodal Virtual Reality System that I contribute with has been accepted by AIVRV 2024.
• [Apr. 2024] EMIS 2024 has accepted my paper about the Knowledge-Graph based report generation.
• [Jan. 2023] My paper about Emergency Stop System is accepted to ICARA 2023.
• [Aug. 2019] Achieved 9th. in the international qualifier of robomaster 2019.

Publications

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