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Peng

License Crates.io Downloads Docs CI dependency status Gitter

🔍 Overview

Peng is a minimal quadrotor autonomy framework written in Rust that provides real-time dynamics simulation, trajectory planning, and control with modern visualization capabilities.

rerun demo

🎯 Key Features

  • 🚁 Real-time Simulation
    • High-fidelity quadrotor dynamics with configurable parameters
    • IMU and depth sensor simulation
    • Optional RK4 integration for accurate dynamics
  • 🎮 Advanced Control
    • PID control for position and attitude with tunable gains
    • Integral windup prevention
    • Support for different control frequencies
  • 📍 Rich Trajectory Planning
    • Minimum jerk line trajectory planner
    • Lissajous curve planner
    • Circular trajectory planner
    • Obstacle avoidance planner
    • Waypoint navigation planner
    • Landing planner
  • 📊 Visualization & Debug
    • Real-time 3D visualization via rerun.io
    • Depth map rendering
    • State telemetry logging
    • Configurable logging frequencies
  • Performance
    • Memory-safe and Efficient Rust implementation
    • Multi-threaded depth rendering

🚀 Getting Started

Prerequisites

Installation from Crates.io

# Install rerun-cli (ensure version >= 0.19.0)
cargo install rerun-cli
cargo install peng_quad
peng_quad config/quad.yaml

Installation from Source

# Install rerun-cli (ensure version >= 0.19.0)
cargo install rerun-cli
git clone https://github.com/makeecat/Peng.git
cd Peng
cargo run --release config/quad.yaml

⚙️ Configuration

  • You can configure the simulation through config file, see quad.yaml for example.
  • Configure simulation parameters such as mass, inertia, and control gains.
  • Configure control parameters such as PID gains.
  • Configure trajectory planner parameters such as waypoints, obstacles, and trajectory type.
  • Configure visualization parameters such as camera intrinsics and depth rendering.

🔧 Troubleshooting

If you encountered any issue with the rerun:

  1. Verify rerun-cli version matches rerun version in Cargo.toml:
rerun --version
  1. For Linux/WSL2 users, consult the rerun troubleshooting.

🗺️ Roadmap

  • Wind field and environmental effects
  • Motor dynamics simulation
  • Multi-quadrotor simulation
  • Model Predictive Control (MPC)

🤝 Contributing

We welcome contributions of all kinds! Please check out the Contributing Guidelines for more details.

📄 License

Peng is free, open source and permissively licensed! Except where noted (below and/or in individual files), all code in this repository is dual-licensed under either:

This means you can select the license you prefer!

🐦 Why call it Peng?

Peng (鵬/鹏, péng), or Dapeng (大鵬), represents a mythical Chinese bird that transforms from a giant Kun (鯤/鲲) fish. This name reflects our framework's adaptability and transformative capabilities.

📝 Blog Posts

📚 Citation

If you use this project in your research or work, please cite it as follows:

@software{peng_quad,
  author       = {Yang Zhou},
  title        = {Peng: A Minimal Quadrotor Autonomy Framework in Rust},
  year         = {2024},
  publisher    = {GitHub},
  journal      = {GitHub repository},
  howpublished = {\url{https://github.com/makeecat/peng}},
}