Paper Accepted at IROS 2025
Mar 1, 2025·
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1 min read
Shengfan Cao
I am excited to share that my paper “A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing” has been accepted for oral presentation at IROS 2025!
Authors
Shengfan Cao
(he/him)
PhD Researcher in Autonomous Driving & Robotics
UC Berkeley Ph.D. candidate developing safe, machine-learning-based prediction, planning, and control systems for autonomous vehicles. First-author IEEE IROS oral presenter with 4+ years across machine learning, planning, and controls, spanning PyTorch research, CARLA evaluation, embedded-robot deployment, and C++ production planner integration.