DOBOT Pocket Go Data Collection Platform

• DOBOT Pocket Go Data Collection Platform
• Portable single-arm data collection kit for high-throughput robot manipulation demonstration recording
• GoPro Hero 12 camera: 5.3K, 155-degree FOV, HyperSmooth 6.0 stabilization, built-in IMU
• Visual-inertial SLAM (ORB-SLAM3) for precise 6D pose tracking during demonstrations
• Handheld gripper kit and arm-mounted end-effector gripper kit both included; up to 2 kg payload
• Compatible with full DOBOT Nova and CR series robot arms (sold separately)
• Complete software stack: data collection, SLAM trajectory processing, model training, and deployment
• Up to 4,000 demonstration datasets per day; optional Mini AI computer for edge training and inference

The DOBOT Pocket Go Data Collection Platform is a compact, portable kit developed by DOBOT for teams that need to record large volumes of high-quality robot manipulation demonstrations efficiently. Designed to accelerate imitation learning workflows for embodied AI research, it pairs a GoPro Hero 12 action camera with a visual-inertial SLAM system to capture operator movements with the spatial precision required to build manipulation training datasets. The kit includes both a handheld gripper for human demonstrations and a robot arm end-effector gripper for deployment, allowing the same recorded data to be transferred directly to a compatible robot arm for autonomous inference. A compatible robot arm from the DOBOT Nova or CR series is required for inference and must be ordered separately.

The system supports up to 4,000 demonstration datasets per operating day, covering commercial, household, and industrial application scenarios from table cleaning to precision assembly. The GoPro Hero 12 provides high-resolution video with advanced optical stabilization suited to fast manipulation tasks, and the ORB-SLAM3 6D pose tracking system generates spatial annotations automatically from recorded sessions. The included mobile vertical stand accommodates Nova 2, Nova 5, CR3, CR5, and CR7 arms. An optional Mini AI computer with a dedicated GPU allows edge training and inference to be performed locally, reducing the round-trip time between data collection and model validation.

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Key Capabilities

The Pocket Go combines precision motion capture, high-speed video recording, and a full AI training pipeline into a single portable kit, making it one of the most accessible platforms for imitation learning data collection.

6D Pose Tracking

Visual-inertial ORB-SLAM3 monocular SLAM fuses GoPro camera and IMU data to generate precise 6D trajectory annotations automatically from each recorded session, without any manual labeling.

High-Throughput Collection

The lightweight handheld design and wireless GoPro recording enable up to 4,000 demonstration datasets per operating day, making large-scale manipulation dataset generation practical for research and commercial teams alike.

Universal Robot Compatibility

Collected data and trained models are compatible across the full DOBOT Nova and CR series collaborative arms. The modular end-effector gripper kit attaches directly to a compatible robot arm for immediate autonomous inference without hardware modifications.

End-to-End AI Training Pipeline

The included software stack covers the full workflow from data ingestion and SLAM trajectory processing to diffusion model training and deployment. A secondary development SDK and Docker-based environment are provided for custom research integrations.