Dual-Arm Embodied Intelligence Teleoperation Platform - Ai Cai Gou Source Bible
双臂具身智能遥操作平台 - 爱采购寻源宝典
The Cobot Magic platform features a modular, high-precision design with Tracer differential chassis and PiPER six-axis arms, supporting ROS frameworks and open-source algorithms. It integrates multi-modal perception systems and enables data collection for tasks like precision assembly and home care, with a 50% reduction in development time and 30-50% cost savings compared to traditional solutions.
The Cobot Magic platform introduces a modular, high-precision dual-arm teleoperation system with ROS compatibility, multi-modal sensing, and integration with large-scale datasets like JD ManiData. It aims to reduce development time and enhance deployment readiness for industrial and domestic applications.
Source: Chinese robotics — Dataset and collection discovery · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Control
- TeleoperatedOpen source S2
Reported numbers
repeating positioning accuracy
2
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1、模块化高精度设计 采用Tracer差速移动底盘+PiPER六轴机械臂+多模态感知系统架构,通过EtherCAT总线实现全向移动与双臂协同控制,重复定位精度达±2mm,动态负载补偿支持0-50kg自适应。
Open source S8single arm load
1.5
View original evidence
松灵Cobot Magic双臂智能遥操作平台采用模块化高精度设计,集成Tracer差速底盘(±2mm定位)与双PiPER六轴机械臂(单臂负载1.5kg,±0.1mm精度,10ms级响应),搭载多模态感知系统(激光雷达+深度相机),实现全向移动与双臂协同。
Open source S2repeating positioning accuracy
0.05
View original evidence
PiPER机械臂:单臂负载1.5kg,重复定位精度±0.05mm,关节响应时间低于10ms,支持360/s高速运动,适应精密装配与快速分拣任务。
Open source S9environment perception range
120
View original evidence
2、多模态感知融合 集成激光雷达(速腾聚创RS-LiDAR-M1)、Intel RealSense D435i深度相机与奥比中光Dabai相机,实现120m环境感知与30-60Hz高帧率数据采集,覆盖复杂场景需求。
Open source S10data collection frame rate
30–60
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2、多模态感知融合 集成激光雷达(速腾聚创RS-LiDAR-M1)、Intel RealSense D435i深度相机与奥比中光Dabai相机,实现120m环境感知与30-60Hz高帧率数据采集,覆盖复杂场景需求。
Open source S10maximum load compensation
0–50
View original evidence
1、模块化高精度设计 采用Tracer差速移动底盘+PiPER六轴机械臂+多模态感知系统架构,通过EtherCAT总线实现全向移动与双臂协同控制,重复定位精度达±2mm,动态负载补偿支持0-50kg自适应。
Open source S8joint response time
10
View original evidence
PiPER机械臂:单臂负载1.5kg,重复定位精度±0.05mm,关节响应时间低于10ms,支持360/s高速运动,适应精密装配与快速分拣任务。
Open source S9error rate in sorting
0.01
View original evidence
5、应用场景与灵活性 工业自动化:适用于汽车制造、3C电子等领域的精密装配与搬运,分拣误差率降低至±0.01mm,破损率下降30%。
Open source S15
- code: not_reported
- dataset: not_reported
- paper: not_reported
What remains unknown
Not established in the collected evidence: Environment, Data origin.
Dataset licensing and commercial-use rights are not established here.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
松灵Cobot Magic双臂智能遥操作平台采用模块化高精度设计,集成Tracer差速底盘(±2mm定位)与双PiPER六轴机械臂(单臂负载1.5kg,±0.1mm精度,10ms级响应),搭载多模态感知系统(激光雷达+深度相机),实现全向移动与双臂协同。
Open source S2
4、数据集与模型联动 赋能JD ManiData(国内首个双臂移动机器人操作数据集)与ARIO百万级标准化数据集,支持物流分拣、家庭护理等场景训练。
Open source S13
1、模块化高精度设计 采用Tracer差速移动底盘+PiPER六轴机械臂+多模态感知系统架构,通过EtherCAT总线实现全向移动与双臂协同控制,重复定位精度达±2mm,动态负载补偿支持0-50kg自适应。
Open source S8
PiPER机械臂:单臂负载1.5kg,重复定位精度±0.05mm,关节响应时间低于10ms,支持360/s高速运动,适应精密装配与快速分拣任务。
Open source S9
2、多模态感知融合 集成激光雷达(速腾聚创RS-LiDAR-M1)、Intel RealSense D435i深度相机与奥比中光Dabai相机,实现120m环境感知与30-60Hz高帧率数据采集,覆盖复杂场景需求。
Open source S10
5、应用场景与灵活性 工业自动化:适用于汽车制造、3C电子等领域的精密装配与搬运,分拣误差率降低至±0.01mm,破损率下降30%。
Open source S15
Implications for data suppliers
RoboSignal interpretation and collection questions, not statements of buyer demand.
- Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
- Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
- Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.
Source:Chinese robotics — Dataset and collection discovery · b2bwiki.baidu.com