Webots هو محاكي روبوتات قائم على الفيزياء وبيئة تطوير تستخدم لنمذجة وبرمجة واختبار سلوك الروبوتات في عالم فيزيائي ثلاثي الأبعاد محاكى. يعمل كأداة نماذج أولية افتراضية للتحقق من الأنظمة الميكانيكية والإلكترونية من خلال إنشاء نماذج روبوت افتراضية ومنطق تحكم.
الميزات الرئيسية لـ cyberbotics/webots هي: Robotic Physics and Sensor Simulators, Robotics Prototyping Environments, Autonomous Agent Simulations, Mechanical Hardware Modeling, Programmable Interfaces, Robotics Simulators, Rigid Body Physics Engines, Mechanical Property Simulation.
تشمل البدائل مفتوحة المصدر لـ cyberbotics/webots: facebookresearch/habitat-sim — Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents… robotlocomotion/drake — Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU… google-deepmind/dm_control — dm_control is a physics-based simulation framework and robot control simulation toolkit designed for creating and… isaac-sim/isaaclab — Isaac Lab is an open-source framework for training robot policies in physically simulated environments, supporting… openmind/om1 — OM1 is a multimodal AI agent runtime and orchestration framework designed to connect large language models to physical…
Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents within photorealistic indoor and outdoor environments. It serves as a simulator for AI and robotics, providing a system for generating synthetic data and simulating physical interactions. The project is distinguished by a native C++ core that enables high-throughput simulation and a rendering pipeline using physically based rendering and baked global illumination. It features a navigation system based on pre-computed navigation meshes to ensure collision-free traversal and a rigi
Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and verifying the dynamics of complex robotic systems. It functions as a multibody dynamics simulator and a mathematical optimization library, providing a suite of algorithms for trajectory optimization and the simulation of articulated robots. The framework is distinguished by its block-diagram system for composing dynamical subsystems and its ability to formulate and solve diverse mathematical programs, including linear, quadratic, and nonconvex nonlinear problems. It supports specializ
jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
dm_control is a physics-based simulation framework and robot control simulation toolkit designed for creating and interacting with continuous control tasks. It serves as a suite of reinforcement learning environments and a benchmarking tool for evaluating autonomous agents within virtual physics spaces. The framework provides a collection of environments based on MuJoCo physics bindings to simulate rigid body dynamics and contact forces. It features hardware-accelerated rendering and interactive viewers for the visualization of physics environments and agent behavior. The system supports the