This project features a gesture-controlled differential drive robot implemented in simulation using MediaPipe and OpenCV. Bayesian inference is applied to improve gesture detection by handling uncertainty from intermittent visual input.
- Hand gesture recognition using MediaPipe and OpenCV
- Bayesian filtering to account for detection uncertainty
- Control of a differential drive robot in a simulated environment
You can read the full project report here: Project Report (Google Drive)