Jieliang (Rodger) Luo

Principal AI Research Scientist



Jieliang (Rodger) Luo is a Principal AI Research Scientist at the Autodesk AI Lab in San Francisco. He received his Ph.D. from UC Santa Barbara, where he explored the intersection of machine learning, robotics, and creativity. His current research focus is understanding how to learn complex behaviors and apply insights for construction automation, architecture design, and world-building. His work has been presented at SIGGRAPH, ICCV, ICRA, CoRL, IROS, ECCV, ICLR, and others. Besides research, he’s super passionate about climbing.

Publications (7)



Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly

This work proposes a novel method to efficiently plan physically…



Learning Dense Reward with Temporal Variant Self-Supervision

Rewards play an essential role in reinforcement learning for robotic…



A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly

In this work we propose a learning approach to high-precision robotic…

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