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Simulation & Robotics SIM-001 2024

Autonomous Driving Simulation

3D environment for self-driving perception and decision testing

The problem

Testing autonomous driving systems on public roads is expensive, slow, and dangerous. Edge cases are rare in real driving but critical to validate.

The approach

Built a simulation environment in Unreal Engine with realistic road networks, dynamic traffic, and configurable weather. Virtual sensor models generated synthetic data matching real hardware output.

Outcomes
  • Thousands of edge-case scenarios tested per day
  • Synthetic sensor data pipeline for perception training
  • Reproducible environments for regression validation
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SIM-002 Completed

Automated Excavator Control System

Digital twin and control pipeline for automating excavator operations. Prior industry project demonstrating sim-to-real transfer capabilities.
SIM-003 Completed

ML Training Simulation Environments

Custom 3D simulation environments for synthetic training data and reinforcement learning. Prior industry experience in robotics and perception model training.