Lucas Zhou

Robotics & Reinforcement Learning | Simulation, Control, and Learning for Articulated Systems

Resume (PDF) Projects Research Contact

Isaac Sim / IsaacLab PhysX / Contacts PPO / DAgger PyTorch Controls / Optimization

About

I work on robotics simulation, control, and reinforcement learning with an emphasis on high-fidelity physics environments and data-driven control for articulated machines. This portfolio highlights selected projects, research-style work, and implementation details with reproducible code and results.

Projects

Wheel Loader Simulation & Scooping

Articulated vehicle simulation, granular interaction, and control policies in Isaac Sim/IsaacLab.

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CarRacing RL + Imitation Learning

Expert training, dataset generation, and DAgger/offline pipelines for robust driving policies.

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OCRL Biped / Controller Work

Legged control and simulation integration; controller design and validation.

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EMSD Capstone

System design, implementation, and validation with quantified engineering targets.

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Research

Add your research entries here (paper/report links, slides, posters, or a short list). If you want, I can provide a clean “Research” section format similar to a mini-publications page.

Contact

Email: YOUR_EMAIL@domain.com
GitHub: github.com/LucaZRY
LinkedIn: linkedin.com/in/YOUR_LINKEDIN