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Yutao Cao

Junior Machine Learning Engineer specializing in computer vision and 3D/robotics research

University of Southern CaliforniaUSCLos Angeles, CA2 Years ExperienceJunior LevelWorks On-Site

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About

Robotics software candidate focused on simulation-to-learning workflows, building a novel-view-synthesis pipeline (USCiLab3D) with a multi-modal diffusion model and a LiDAR-driven, geometry-aware sampling strategy for selecting overlapping reference views across trajectories/seasons. Also designed coordinated motion planning for two Ridgeback-Franka robots in Isaac Lab for a non-prehensile collaborative task, augmenting controller limitations with RL-based self-collision termination states.

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Key Strengths

  • Geometry-aware training data sampling using LiDAR reverse projection for view overlap
  • Scaling training for a multi-modal diffusion model in a large dataset simulation pipeline
  • Bridging perception/simulation/training pipelines with ROS and Isaac Lab
  • Designed coordinated motion planning for two Ridgeback-Franka robots for non-prehensile collaboration using differential IK
  • Improved robustness by addressing IK/controller limitations with RL-based self-collision termination states

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Experience

Student ResearcherSLURM Lab, USC · Jan 2026 – Present
Student ResearcherIntegrated Informatics Lab (iLAB), USC · May 2025 – Present
Machine Learning Engineer InternShanghai Rongmeng Technology Co. · Jan 2024 – Aug 2024internship
Teaching Assistant for CIS5810: Computer Vision & Computational PhotographyUniversity of Pennsylvania · Aug 2023 – Dec 2023part-time
Student Research VolunteerHuman-AI Experience (HAX) Lab, UC Santa Barbara · Apr 2023 – Jan 2024

Education

USCmaster, Computer Science
University of Pennsylvaniamaster, Computer and Information Technology (2024)
University of Chicagobachelor, Media Arts and Design (2022)

Languages

English

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Yutao CaoJunior Machine Learning Engineer specializing in computer vision and 3D/robotics research