sim-to-real
Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.
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Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
Vision-Language-Action model integration patterns for cognitive robotics with ROS 2.
Structure for creating hands-on exercises in the Physical AI textbook.
Build production-grade UI/UX with React (Next.js, Docusaurus), CSS architecture (Tailwind, Modules, Global), animations, theming, performance optimization, state management, and testing. Use when creating React...
Provides comprehensive guidelines for writing and formatting MDX content, frontmatter, and Docusaurus-specific components for the Physical AI & Humanoid Robotics textbook.
NVIDIA Isaac Sim and Isaac ROS integration patterns for Physical AI applications.
Authoritative guidelines for writing production-grade ROS 2 (Humble) Python 3.11+ code (leveraging 3.12+ features where compatible) for Physical AI applications.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.