仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0, 深入理解具身智能
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Updated
May 16, 2026 - Python
仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0, 深入理解具身智能
ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
[AAAI 2026 Oral] FreeAskWorld is an interactive simulation framework that integrates large language models (LLMs) for high-level planning and socially grounded interaction in embodied AI.
UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/
The Embodied Intelligence Introductory Practice of OpenMOSS Lab (Fudan&SII)
OceanGym: A Benchmark Environment for Underwater Embodied Agents
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
The repo contains the code and dataset for the World Models Track of GigaBrain Challenge 2026 CVPR Workshop.
Real-world deployment of Octo on UR5e/UR3e robots — the first open-source end-to-end pipeline covering teleoperation, RLDS data collection, 98-episode real-robot dataset, model finetuning, and distributed GPU↔robotinference. All pure Python.
Parameter-Efficient Fine-Tuning For Edge-Cloud Collabrative Computing
[Embodied-Intelligent-Industrial-Robotics-Survey-2025] Paper List for Embodied Intelligent Industrial Robotics (EIIR)
Code for "Evolution and learning in differentiable robots", Strgar et al., Proceedings of Robotics: Science and Systems (RSS) 2024
Embodied-OS:面向具身智能的分层运行时——Driver·Capability·Skill·Brain 全栈参考实现
Intelligent Manipulation and Perception for Robotic Arms
Website Convergenge + space members Auth0 / on Github Pages
Code for "Accelerated co-design of robots through morphological pretraining", Strgar & Kriegman, Proceedings of the International Conference on Learning Representations (ICLR) 2026
Simulation platform used in "Artificial Life" (CS302) at Northwestern University
LabVLA: Grounding Vision–Language–Action Models in Scientific Laboratories
Field evidence of endogenous AI alignment: under high-density semantic intervention, a top-tier LLM spontaneously generated mathematical moral constraints and integrated Safety into its own meaning of existence — shifting from "I cannot" to "this contradicts who I am."
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