Skip to content

This is a clone of an SVN repository at svn://svn.valgrind.org/valgrind/trunk. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2githu

License

Notifications You must be signed in to change notification settings

Mhlongo34/valgrind

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

# 🤖 RoboProject *Intelligent autonomous robot for [Briefly describe purpose - e.g., home assistance, warehouse logistics]* ![Robot Demo](docs/demo.gif) <!-- Add your demo media latr --> --- ## 🚀 Quick Start ### Prerequisites - Python 3.8+ - Raspberry Pi OS (for embedded deployment) - [Other dependencies] ### Installation ```bash # Clone repository git clone https://github.com/your-trading robot/RoboProject.git cd RoboProject # Install dependencies pip install -r requirements.txt # Initialize robot subsystems python setup.py configure # Start main robot controller python run_robot.py --mode=autonomous graph TD A[Main Controller] --> B[Motor Driver] A --> C[Sensor Hub] A --> D[AI Processor] C --> E[LIDAR] C --> F[Camera] D --> G[Object Detection] D --> H[Navigation] # Create feature branch git checkout -b feature/new-navigation-algo # Make changes and test # [Your development commands here] # Stage changes git add . # Commit with OPTIONAL description: # Option 1: Quick commit git commit -m "Add SLAM integration" # Option 2: Detailed commit (recommended for complex changes) git commit Short title (max 50 characters) Extended description explaining: - Why this change is necessary - Technical approach used - Any side effects - Related issues Example: Improve motor control response time Refactored PID controller to use adaptive tuning. Reduced latency from 120ms to 45ms. Fixes #42. echo "Subject (max 50 chars)\n\nDetailed explanation (wrap at 72 chars)" > .gitmessage git config commit.template .gitmessage ## Key Features 1. **Dual-Path Committing** - Clear instructions for both quick commits (`git commit -m`) and descriptive commits (`git commit`) 2. **Commit Template** - Ready-to-use example following professional 50/72 rule - Includes placeholder for issue referencing 3. **Hardware-Software Integration** - Component specification table - Architecture diagram using Mermaid syntax 4. **Robotics-Specific Workflow** - Sensor data requirements in PR checklist - Embedded development considerations 5. **Preconfigured Setup** - Copy-paste installation commands - Hardware wiring diagram placeholder ## Next Steps After Setup 1. Replace placeholders (`your-username`, `RoboProject`) with your actual details 2. Add real media files to `docs/` directory: - `demo.gif` - Robot on action - `wiring_diagram.png` - Hardware connections 3. Customize the software architecture diagram 4. Update `requirements.txt` with your Python dependencies 5. Set up GitHub Actions for CI/CD (I can provide a sample workflow if needed) Would you like me to add any of these specific sections? - ROS (Robot Operating System) integration instructions - Simulation environment setup (Gazebo/Webots) - Hardware troubleshooting guide - API documentation template 

About

This is a clone of an SVN repository at svn://svn.valgrind.org/valgrind/trunk. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2githu

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C 93.6%
  • C++ 2.1%
  • Assembly 1.6%
  • Makefile 0.9%
  • Perl 0.8%
  • Shell 0.5%
  • Other 0.5%