Welcome to AutoMan Research Lab @ NTU

AutoMan members, July 2024
(during Zhiyu & Jingda's PhD graduation ceremony)
The Automated Driving and Human-Machine System (AutoMan) Lab @ NTU has a wide range of research activities covering design, control and optimization of human-centric robotics, embodied AI, human-AI hybrid intelligence, and cyber-physical systems, with particular applications to advanced vehicles.

Our AutoMan group is exploring
Scientific automation mechanisms to better understand humans.
Smarter autonomous robotics to guide and assist humans.
Safer automated vehicles to better serve humans.
Smoother automation to interact with humans.
Sustainable automobiles for humans.
These are what AutoMan stands for!

Dr. Chen Lv (吕辰)
Associate Professor
Director, AutoMan Research Lab
Director, MSc in Robotics and Intelligent Systems
School of Mechanical and Aerospace Engineering Cluster Director in Future Mobility Solutions, ERI@N
Thrust Lead in Smart Mobility and Delivery, Continental-NTU Corp Lab
E: lyuchen@ntu.edu.sg





Recent AutoMan News
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Chen is appointed as IEEE VTS Distinguished Lecturer.
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Yawei joined as a postdoc research fellow. Welcome!
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Zezhong successfully defended his PhD dissertation. Congrats Dr. Zhang!
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Chen is appointed as Senior Editor of IEEE T-ITS.
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Chen is elected Vice Chair of IEEE VTS AdHoc Committee on Autonomous Vehicles.
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Runjia, Shanhe, and Yanxin's work on VLM-enabled robotic manipulation received the Best Paper Award in IEEE CIS-RAM 2024. Congrats!
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Haochen and Zhiyu secured 1st and 2nd Places at Waymo Open Data Challenge 2024, at Occupancy Flow Prediction and Sim Agent Tacks, respectively! Congrats!
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On behalf of NTU Singapore, We debuted at the inaugural Abu Dhabi Autonomous Racing League, applying our AI driving solution on an F1-type race car. Cheers!
Research Highlights
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Zhiyu's work (in collaboration with NVIDIA) on Generative Driving Policy was accepted to ICRA'25.
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Haochen's work on hybrid prediction integrated planning was accepted to IEEE TPAMI.
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Haohan's work on human-guided continual learning was accepted to IEEE T-ITS.
Useful Resources
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To be updated:
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AIMS workshop
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IROS workshop
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ITSC workshop
