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Chih-Hao Tsai
Entry-level Robotics Research Assistant specializing in multi-agent autonomy and reinforcement learning
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About
ROS2/Python robotics engineer who led a 4-person team building a simulated multi-robot warehouse system (SLAM + NAV2 + centralized task allocation) in Gazebo Ignition, including a distance/priority-based controller that reduced task completion time by ~30%. Also has hands-on real-time debugging/tuning experience for both mobile robots and a MyCobot 600 Pro manipulator, plus simulation work in CARLA using RL (TD3) and Social-LSTM for pedestrian behavior modeling.
Experience
Education
Key Strengths
- Led a 4-person team delivering a ROS2 multi-robot warehouse navigation and centralized control system
- Deep hands-on integration of ROS2 navigation stack (NAV2), SLAM mapping, frames/sensors configuration
- Designed centralized distance/priority-based multi-robot controller to reduce warehouse traffic jams
- Improved task completion time by ~30% via coordination algorithm and team execution
- Real-time debugging and optimization using RViz/Gazebo; tuned controllers and added progress checks to prevent stalling
- Cross-functional mentorship: broke work into modules, paired junior members with experienced teammates for code review
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