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Yongyan Cao
Principal Vehicle Dynamics & Control Systems Engineer specializing in autonomous driving and hybrid powertrains
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About
Robotics controls engineer with experience spanning an RV/trailer automatic hitching and towing robot (vision + EKF sensor fusion, anti-jackknife/anti-sway, multi-loop torque assistance control) and 3 years on a ROS-based RoboTaxi autonomous driving stack at Pegasus Technology. Improved MPC trajectory generation robustness by converting hard constraints to soft constraints with slack variables, and built an AI-powered PR review agent (Claude-code) integrated into CI/CD to reduce bugs.
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Key Strengths
- End-to-end robotics control architecture ownership (sensor fusion, vision, control loops, implementation)
- Deep controls expertise (MPC, PID, multi-loop rate/velocity/position control)
- Robust optimization under constraints (slack-variable approach to prevent MPC infeasibility)
- Strong validation approach using simulation scenarios plus real-data corner cases before vehicle testing
- Practical real-time/ROS integration (consuming planning/localization and publishing actuation commands)
- Performance/latency tuning in distributed robotic nodes (threading, message/data reduction)
- Process improvement via CI/CD automation (built AI-powered PR review agent to catch bugs early)
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Experience
Education
Awards
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Publications
100 publications
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