Which programming languages does KOS support?

The core runtime is built in Rust for performance, while client-side interactions and scripts are primarily handled via Python using the pykos library.

How does this skill help with sim-to-real transitions?

It provides a standardized Simulation Service interface that allows for synchronized control, state resets, and parameter mapping between simulators like MuJoCo and real hardware.

What hardware is compatible with KOS?

KOS supports various platforms through its Abstraction Layer, including K-Bot, Zeroth-bot, and stub backends for virtual testing and simulation.

What is the KOS Firmware skill?

It is a specialized capability for Claude to assist in developing and managing robot firmware using the K-Scale Operating System framework.

KOS Robotics Firmware

Name: KOS Robotics Firmware
Author: plurigrid

byplurigrid

•

API開発

Manages Rust-based robot firmware and gRPC services for actuator control and sim-to-real workflows.

概要

KOS (K-Scale Operating System) is a high-performance, configurable framework designed to unify robot firmware development. Built in Rust with an efficient gRPC interface, it allows developers to control actuators, read IMU data, and manage simulations via a Python-friendly client (pykos). It bridges the gap between high-level AI policies and low-level hardware abstraction layers, supporting seamless sim-to-real workflows for complex robotic platforms like K-Bot and Zeroth-bot.

主な機能

High-performance Rust-based runtime for low-latency actuator control and telemetry
Unified gRPC API for seamless communication between Python clients and hardware
Integrated actuator calibration and parameter management for multi-joint systems
Comprehensive Platform Abstraction Layer (PAL) supporting physical hardware and simulation
2 GitHub stars
Dedicated Simulation Service for managing resets, stepping, and markers in sim-to-real workflows

ユースケース

Developing control software for humanoid robots using Python-based AI policies
Real-time telemetry monitoring and actuator calibration for custom robotic platforms
Implementing sim-to-real workflows to train reinforcement learning models and deploy to hardware

概要

主な機能

High-performance Rust-based runtime for low-latency actuator control and telemetry
Unified gRPC API for seamless communication between Python clients and hardware
Integrated actuator calibration and parameter management for multi-joint systems
Comprehensive Platform Abstraction Layer (PAL) supporting physical hardware and simulation
2 GitHub stars
Dedicated Simulation Service for managing resets, stepping, and markers in sim-to-real workflows

ユースケース

Developing control software for humanoid robots using Python-based AI policies
Real-time telemetry monitoring and actuator calibration for custom robotic platforms
Implementing sim-to-real workflows to train reinforcement learning models and deploy to hardware