AgiBot Digital World - A robot simulation framework launched by Zhiyuan Robotics

What is AgiBot Digital World?

AgiBot Digital World, developed by Logic Robotics, is a high-fidelity robot simulation framework that provides efficient support for robot operation skill research and application. AgiBot Digital World integrates massive amounts of realistic 3D assets, diverse expert trajectory generation mechanisms, and comprehensive model evaluation tools. Based on high-fidelity simulation and end-to-end automated data generation, it rapidly constructs diverse robot training scenarios. Developed using NVIDIA Isaac-Sim, the framework features highly realistic visual rendering and accurate physical simulation. It supports the automatic generation of multimodal large-model-driven tasks and scenarios, and combines domain randomization and data augmentation techniques to generate high-quality, diverse expert trajectory data, enhancing model generalization capabilities. Logic Robotics also open-sources the AgiBot Digital World Dataset, covering 5 major scene categories, 180+ item categories, 9 materials, and 12 core skills, contributing to the development of the global embodied intelligent robot field.

Main functions of AgiBot Digital World

• High-fidelity simulation training scenario:
  • Multi-source high-quality 3D assetsBased on manual modeling, 3D reconstruction technology and generative artificial intelligence (AIGC), it meets the simulation needs of complex tasks.
  • Realistic perception and interaction detailsDeveloped based on the NVIDIA Isaac-Sim platform, it provides realistic visual and physical interaction effects.
  • Automatically generate tasks and scenariosIt supports the automatic generation of operation tasks and scene layouts based on the asset library, adapting to different training needs.
• End-to-end automated data generation:
  • Diversified expert trajectory generation strategyThis includes real-machine operation digital twins, automatic generation of embodied intelligent agents, and simulated teleoperation.
  • Domain randomization and data augmentationBy adjusting lighting, materials, and physical properties, diverse data can be generated to improve the model's generalization ability.
  • Automated generation of large-scale dataSet: Supports multimodal data generation, enabling rapid construction of large-scale expert trajectory data.
• Open source massive simulation dataThe dataset covers 5 major scene categories, 180+ item categories, 9 materials, and 12 core skills. It features high quality, rapid generalization, diverse tasks, and flexible applications, facilitating multi-skill training and multi-task generalization.

The Technical Principles of AgiBot Digital World

• Development based on NVIDIA Isaac-SimBased on the NVIDIA Isaac-Sim high-performance simulation platform, it achieves highly realistic visual rendering and accurate physical simulation. GPU acceleration and real-time simulation technology ensure the efficient operation of the simulation environment.
• Multimodal large model drivenIt automatically generates tasks and scene layouts by combining multimodal large models (such as vision and language models). Based on the generalization ability of large models, it flexibly generates diverse robot operation tasks and environments.
• Expert trajectory generation and data augmentationExpert trajectory data is generated using various strategies, including real-machine operation digital twins, automatic generation of embodied intelligent agents, and simulated teleoperation. Combined with domain randomization and data augmentation techniques (such as randomization of lighting, material, and physical properties), the diversity of data and the generalization ability of the model are enhanced.
• Automated Task and Scene GenerationBased on an asset library and a multimodal large model, it automatically generates operation tasks and scene layouts according to user needs. It supports one-click task switching and automatic replacement of missing objects, achieving data closure.

AgiBot Digital World's project address

• Project official website:https://agibot-digitalworld.cn/
• HuggingFace model library:https://huggingface.co/datasets/agibot-world/AgiBotDigitalWorld

Application Scenarios of AgiBot Digital World

• Robot skills trainingBased on a high-fidelity simulation environment, robots can be quickly pre-trained to perform tasks such as grasping and handling, reducing training costs in real-world environments.
• Algorithm Development and TestingIt provides a complete process from trajectory generation to model validation, accelerating the development and optimization of robot algorithms.
• Industrial AutomationSimulate industrial scenarios to optimize the efficiency and accuracy of robots on the production line and reduce deployment risks.
• Service robot developmentIn scenarios such as homes, supermarkets, and restaurants, robots are trained to complete cleaning, tidying, and service tasks, thereby improving the user experience.
• Artificial Intelligence Research and EducationAs a research and education tool, it supports research in fields such as embodied intelligence and reinforcement learning, and provides abundant open-source resources.