ROV2019 Navigation Stack
Shows early systems thinking across power, communications, camera, control, and actuator constraints.
Power-supply note
System Overview
Underwater ROV navigation and hardware repository with PC-to-Arduino communication, camera configs, and engineering docs.
Robotics work repository.
Implementation Signals
System flow
A compact view of how inputs move through processing, orchestration, validation, and output.
Operator Command
PC Communication
Arduino Control
Sensor Feedback
Actuator Response
Engineering decisions
Decision Record
Treat robotics as integrated infrastructure
Problem: ROV systems fail when software ignores power, comms, camera, and actuator constraints.
Approach: Build across navigation, hardware docs, communication, and camera configuration.
Tradeoff: Messier than a clean software-only repo.
Outcome: Established physical systems context for later AI systems work.
Results / Learnings
Repo
Includes navigation, arms, Arduino libraries, MQTT demo, camera configs, and engineering docs.
Progressive depth
This page keeps the outcome and architecture visible first. Implementation stack, decisions, constraints, and media are available below so technical depth is opt-in rather than forced.
Adjacent systems
Drone Gesture Control Research
Published Crazyflie drone control work using MediaPipe gesture and body-pose recognition under low-light constraints.
Publication: Springer Nature Singapore, ICEEE 2024.
OpenWireAIR Image Restoration
Efficient image restoration research with wide receptive fields, WireA attention, and CLIP-based semantic enhancement.
Model: 364K parameters, 20.7G FLOPs, LinkedIn-provided.
Open