Autonomous Robotic Radiation Patrol
Overview
Developed as my final-year research project, this Unitree Go2 prototype explored autonomous radiation patrol for remote, safety-oriented surveys in compact clinical X-ray environments. It combined a custom sensing payload, autonomous waypoint movement, real-time telemetry, and 2D/3D heatmap generation. Testing focused on workflow feasibility, signal integrity, and comparison against clinical-grade dosimetry hardware.
What was developed
- Integrated a Unitree Go2 quadruped platform with a custom radiation sensing payload.
- Developed autonomous waypoint patrol using the Unitree Go2 Python SDK.
- Developed a real-time telemetry workflow between the robot and workstation.
- Generated 2D and 3D radiation heatmaps for spatial visualisation.
- Implemented structured Excel / CSV data export for analysis and audit support.
- Cross-validated sensor readings against clinical-grade dosimetry hardware.
- Investigated EMI and signal integrity challenges during robotic integration.
- Designed the system around remote supervision and safety-oriented monitoring.
Validation boundary: this was a final-year research prototype. Prototype testing and dosimetry comparison do not represent clinical deployment, certification, or regulatory validation.
Prototype demonstration
Key technical highlights
- Unitree Go2 robotic platform
- Custom radiation sensing payload
- Python SDK integration
- Autonomous waypoint patrol
- Real-time data pipeline
- 2D / 3D heatmap generation
- Clinical-grade dosimetry cross-validation
- EMI troubleshooting
- Safety-oriented operator workflow
Tools and skills
Python, Unitree Go2 SDK, autonomous waypoint control, radiation sensing, telemetry, data visualisation, 2D/3D heatmaps, Excel/CSV data handling, dosimetry comparison, EMI troubleshooting, and system integration.