Texas Aimbots · TAMU RoboMasters
A real-time embedded perception stack for competition robots.
- Trained and quantized YOLOv8 models for Jetson edge target acquisition.
- Achieved <20ms vision inference with TensorRT acceleration.
- Developed an FFT-based spin-detection filter for real-time counter-maneuvers.
- Contributed to the team’s 2025 RoboMasters World Championship and U.S. Final campaign, including the North American competition in San Diego.
Coverage & field notes
Video · AggieNetwork · Team archive
Stories of Impact — RoboMasters
An AggieNetwork feature selected by the Texas Aimbots website. Background on the team and its engineering culture; this archival film is separate from my 2024–2025 work.
Watch on YouTube ↗Official record · RoboMaster · June 20, 2025
2025 North America final robot assessment
The organizer lists Texas Aimbots in the 3v3, infantry, and engineer challenge pass lists. This is an assessment record, not a final competition ranking.
Read source ↗