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Technical Docs

Technical Docs

This section organizes my working notes on environment setup, computer vision, robotics debugging, reinforcement learning, and hands-on training. The goal is not only to store scattered records, but to turn them into reusable technical documentation.

How To Browse

  • Start with Environment if you want a stable workstation, Python environment, WSL setup, or Git workflow.
  • Start with Computer Vision if you want dataset, annotation, YOLO, or workflow notes.
  • Start with Robotics if you are debugging RealSense, Jetson, or embedded vision setups.
  • Start with Fundamentals if you want quick explanations of API, tensors, broadcasting, and DOF.
  • Start with RL and Simulation if you are exploring Isaac Lab or simulator-side workflows.

Topics

AI
Prompting, model notes, and AI workflow experiments
Environment
WSL, Ubuntu, Docker, Conda, and Git
Robotics
ROS 2, RealSense, Jetson, and vision systems
Computer Vision
YOLO, ReID, annotation, and visual workflows
Fundamentals
API, tensors, broadcasting, DOF, and core concepts
RL and Simulation
Isaac Lab, simulation environments, and experiments

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