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🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
[CVPR 25 Highlight & ECCV Workshop 24 Best Paper] RoboTwin Dual-arm Robot Manipulation Simulation Platform
ZhangHangTao / vlm_arm
Forked from TommyZihao/vlm_arm机械臂+大模型+多模态=人机协作具身智能体
李白 👤 作为唐代杰出诗人，其诗歌作品在中国文学史上具有重要地位。近年来，随着数字技术和人工智能的快速发展，传统文化普及推广的形式也面临着创新与变革。国内外对于李白诗歌的研究虽已相当深入，但在数字化、智能化普及方面仍存在不足。因此，本项目旨在通过构建李白知识图谱，结合大模型训练出专业的AI智能体，以生成式对话应用的形式，推动李白文化的普及与推广。
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A simulation framework based on ROS2 and LLMs(like GPT) for robot interaction tasks in the era of large models
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 contr…
基于改进型BP神经网络的PID控制系统
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
A Multi-modal Framework for Robots to Learn Manipulation Tasks from Human Demonstrations
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
[TMLR 2022] High-Modality Multimodal Transformer
Implementation of " UniGrasp: Learning a Unified Model to Gra 7EAC sp with Multifingered Robotic Hands"
The implementation and supplementary material for our RA-L work "An Affordance Keypoint Detection Network for Robot Manipulation".
Tensorflow AffordanceNet and AffContext implementations
An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cor…