Triton Robotics

I am a member of Triton Robotics, a competitive student robotics team at UC San Diego that builds autonomous systems for the annual RoboMaster North America (RMNA) competition.

As part of the autonomy team, I focus on the development of targeting and decision-making algorithms for our fleet of three competition robots. My work spans computer vision, embedded communication, and systems optimization.

Key contributions:

• Developed computer vision algorithms using ROS2 and C++ for real-time target tracking and localization
• Implemented high performance, high frequency UART communication between NVIDIA Jetson processor (handling vision) and STM32 microcontrollers (handling controls)
• Optimized throughput and memory usage across the vision pipeline to reduce latency and increase frame processing rate
• Contributed to the full stack of autonomy code for robots competing in RMNA