embedded-robotics-control

What problem does it solve?

This Skill helps users design and implement complex embedded robotics systems, from dynamic simulation and controller synthesis to firmware implementation and PCB integration.

Core Features & Use Cases

• Dynamic Simulation: Simulate robot dynamics for inverted pendulum systems, motor control, and state estimation.
• Controller Design: Synthesize and tune controllers like LQR/PID using Python scripts.
• Firmware Implementation: Generate and export firmware configurations for ESP32/STM32-based control loops.
• PCB Design: Create parametric mechanical designs and export manufacturing outputs like OpenSCAD files and Fusion 360 scripts.
• Telemetry: Monitor and transmit real-time robot data over UDP for live debugging.
• Use Case: Imagine you need to design a self-balancing robot for an educational project. This Skill will guide you through every phase of the design process, from initial simulations to PCB fabrication and firmware testing.

Quick Start

Use the embedded-robotics-control skill to simulate the dynamic behavior of an inverted pendulum system with a specific set of parameters and visualize the results.