skills.rest
kngender5
kngender5COMMUNITY
Explore all skills by this author →
GitHub

embedded-robotics-control

Design, simulate, and control embedded robotics systems for ESP32/STM32 platforms.

Updated Jun 4, 2026
Search Tags:#firmware#PCB design#telemetry#embedded systems#robotics#controller design#dynamic simulation
One-click install
npx skills add https://github.com/kngender5/hermes --skill embedded-robotics-control
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: embedded-robotics-control
Source: https://github.com/kngender5/hermes/tree/main/skills/software-development/embedded-robotics-control
Command: npx skills add https://github.com/kngender5/hermes --skill embedded-robotics-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, matplotlib, pypdf2, OpenSCAD, Fusion 360, and includes scripts (resource) and references (resource) and assets (resource) components.

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.

Frequently Asked Questions about embedded-robotics-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I simulate inverted pendulum dynamics for a self-balancing robot?▼

To simulate inverted pendulum dynamics for a self-balancing robot, this Skill runs Python scripts using numpy and scipy to model system parameters and visualize the dynamic behavior results with matplotlib.

Can I generate firmware for ESP32 and STM32 control loops using Python?▼

Yes, you can generate and export firmware configurations for ESP32 and STM32-based control loops. The Skill synthesizes and tunes controllers like LQR and PID in Python before implementation.

What's the best way to design PCB and mechanical components for embedded robotics?▼

The best way to design PCB and mechanical components for embedded robotics is using parametric mechanical designs. This Skill exports manufacturing outputs like OpenSCAD files and Fusion 360 scripts.

How does real-time telemetry work over UDP for robot monitoring?▼

Real-time telemetry works by monitoring and transmitting robot data over UDP for live debugging. The Skill handles telemetry monitoring alongside the dynamic simulation and controller synthesis processes.

Do I need Fusion 360 and OpenSCAD for embedded robotics controller design?▼

You need Fusion 360 and OpenSCAD specifically for PCB design and parametric mechanical design outputs. For controller synthesis, dynamic simulation, and firmware implementation, Python with numpy and scipy is used instead.

What are the limitations of using Python for dynamic simulation in embedded systems?▼

Python handles dynamic simulation and controller synthesis offline, but embedded systems require ESP32 or STM32 platforms for actual real-time control loops. Python cannot execute the firmware implementation directly on the microcontroller hardware.

Related Skills

Explore More Software Engineering Skills→
kngender5kngender5

fusion-scad-modeling

Generate parametric CAD models for robot frames using Fusion 360 and OpenSCAD.

Community
Advanced
pjcaupjcau
2

hardware-audit

Audit ESP32 PCB designs for electrical and manufacturing defects.

Community
Advanced
jamestjspjamestjsp

pid-loop-tuning

Calculate PI controller parameters using Lambda Tuning from process identification data.

Community
Advanced
EremesNGEremesNG
1

embedded-systems

Guide deterministic RTOS firmware development for ESP32, STM32, Nordic nRF, and Zephyr platforms.

Community
Advanced