peng

Configure camera intrinsic parameters for depth rendering in Peng by setting resolution, FOV, and near/far planes in quad.yaml. Peng automatically derives focal lengths.

Explore the Maze obstacle system implementation in Peng. Learn how this 3D simulation component generates and renders spherical obstacles in Rust.

Easily switch trajectory planners at runtime in Peng using YAML configurations or Rust code. Optimize your robotic system with flexible planner management. Learn how now!

Learn how Peng calculates the state derivative for RK4 integration in its Quadrotor state_derivative method. Understand quadrotor physics and rates of change.

Easily add custom obstacles to the Peng simulation by implementing ObstacleTrait and updating the Maze container. Enhance your simulations with new geometries.

Learn how to implement quadrotor simulation error handling in Peng. Discover how Rust's Result and the ? operator manage failures effectively across all simulation layers.

Learn how to add new planners to your existing Peng schedule. Implement the Planner trait, extend PlannerType, and update dispatch logic for seamless integration.

Learn how to configure control frequency vs simulation frequency in Peng by editing the quad.yaml file. Optimize your simulation performance efficiently.

Discover how rerun io visualization enables real-time 3D rendering in Peng. Stream scene updates instantly to the viewer for synchronized simulation visualization.

Easily configure maze and obstacle parameters for simulation in Peng. Edit the quad.yaml config file directly without recompiling code to customize your simulation environment.

Learn how to tune PID controller gains for different quadrotors in Peng by editing quad.yaml. Optimize performance with simulation and error monitoring.

Learn how to add custom trajectory planners to the Peng framework. Implement the Planner trait, register your planner in the enum, and extend dispatch match arms for seamless integration.