具身智能-商超服务场景仿真数据集

该商超服务场景的仿真数据集基于虚拟仿真引擎，精心构建了真实细致的超市场景。数据集通过仿真遥操作手段，模拟了多样化的操作任务，包括不同种类商品的抓取、扫码识别、分类装箱等，涵盖了具身智能在实际零售环境中的关键交互动作。该数据集包括多模态数据内容，如图像、深度、关节/力觉等数据类型，能够为机器人感知、决策和执行算法研发提供高质量的训练和验证资源，推动具身智能在复杂动态环境中的应用与发展。 街景及交通标志图片数据集 数据规模：100 数据特点：包含带标注的具身智能多模态数据集 应用场景：用于具身智能场景下的商超服务场景

This simulation dataset for supermarket service scenarios is developed based on a virtual simulation engine, which meticulously constructs realistic and detailed supermarket environments. Through simulated teleoperation, the dataset implements a diverse range of operational tasks, including grasping various commodities, barcode recognition, sorting and packing, etc., covering the core interactive actions of embodied intelligence in real retail environments.

This dataset provides multimodal data content, including image, depth, joint/force sensing and other data types, which can offer high-quality training and validation resources for the research and development of robot perception, decision-making and execution algorithms, and advance the application and development of embodied intelligence in complex dynamic environments.

Street View and Traffic Sign Image Dataset
Data Scale: 100
Data Characteristics: Annotated embodied intelligent multimodal dataset
Application Scenarios: For supermarket service scenarios under embodied intelligent settings

搜集汇总

背景与挑战

背景概述

该数据集是一个基于虚拟仿真引擎构建的商超服务场景仿真数据集，模拟了商品抓取、扫码识别和分类装箱等多样化操作任务，以支持具身智能在零售环境中的交互。它包含多模态数据（如图像、深度和力觉），为机器人感知、决策和执行算法提供高质量训练资源，推动具身智能在复杂动态环境中的应用。