Welcome to Intern Robotics Documentation#
Intern Robotics provides a framework for facilitating robotics research and development, providing a set of tools and libraries that features:
Model Training: Train embodied models for various robotics tasks.
Evaluation: Evaluate the performance of trained models, reproducing results across different environments.
Benchmarking: Benchmark models against standard datasets and tasks.
Data Generation: Collect training data inside various simulation environments.
Development: Develop various robotics systems, tasks and applications.
The framework comprises a general-purpose simulation platform InternUtopia that provides realistic and immersive environments, along with toolkits that support research across various embodied AI domains:
InternSR: Embodied spatial reasoning.
InternNav: Interactive multimodal embodied navigation.
InternManip: Multimodal manipulation.
InternHumanoid (WIP): Agile humanoid robot control.
InternWorldModel (WIP): World modeling and dynamic prediction.