MATE ROV
An advanced remotely operated underwater vehicle (ROV) built for the MATE ROV competition. Features computer vision-based object detection, autonomous navigation capabilities, and real-time sensor telemetry for marine research tasks.
Problem Statement
Underwater exploration and research require sophisticated vehicles that can operate in challenging environments. Manual control alone is insufficient for complex tasks requiring precision and real-time data analysis.
Solution
Designed and built an ROV with integrated computer vision for underwater object detection and identification. Implemented semi-autonomous navigation with real-time sensor fusion and telemetry streaming.
Key Features
- ▸Underwater object detection using custom-trained CV models
- ▸Real-time video streaming with low latency
- ▸6-DOF movement control with PID stabilization
- ▸Sensor fusion for depth, temperature, and orientation
- ▸Semi-autonomous task execution
- ▸Custom control interface with real-time telemetry
Challenges
- ⚡Computer vision in turbid underwater conditions
- ⚡Low-latency video transmission through tethered connection
- ⚡Waterproofing electronics for deep-water operation
- ⚡Real-time PID tuning for stable underwater movement
Results & Metrics
Successfully competed in MATE ROV international competition
Achieved reliable object detection in underwater environments
Real-time telemetry with <100ms latency
Stable operation at competition-required depths
Lessons Learned
- 💡Embedded systems require rigorous testing under real conditions
- 💡Hardware-software integration benefits from modular architecture
- 💡Team collaboration and documentation are critical for complex robotics projects
Case Study Overview
Case Study: MATE ROV Robotics Platform
Custom underwater exploration rover with computer vision, telemetry sensors, and automated control algorithms.