DM-DataMaster Context

Market context

Teleoperation data-acquisition system for robot control and manipulation-data workflows.

• Target environment: Robot-learning labs, humanoid development, industrial manipulation demos and teleoperation data pipelines.
• Workflow context: Human-in-the-loop control, haptic feedback, motion scaling, end-effector switching and data acquisition.
• Customer context: Robot developers, AI labs and teams building manipulation datasets for policy learning.
• Deployment model: Stand-mounted or backpack teleoperation system connected to robots and end-effectors.
• Commercial maturity: Commercial data and hardware system with defined variants and system specifications.
• Adoption constraints: Adoption depends on ergonomics, supported robot platforms, data-pipeline integration and haptic-control quality.
• Market position: Teleoperation layer connecting human demonstrations to robot-learning datasets.
• Adjacent products: {DM-EXton2,"Daimon One",DM-Hand1}

Audience

AI labs

Workflow

Human-in-the-loop control, haptic feedback, motion scaling, end-effector switching and data acquisition.

Deployment environment

Robot-learning labs, humanoid development, industrial manipulation demos and teleoperation data pipelines.

Specifications

• Variants: Stand-mounted version, backpack version
• Weight: 20 kg stand-mounted version, 4.0 kg backpack version
• Dimensions: 990 x 947 x 1850 mm stand-mounted, 597 x 200 x 822 mm backpack
• Degrees of freedom: 12
• Sampling Frequency Hz: 1000 Hz
• Communication: Ethernet / WiFi
• Angular Resolution Deg: 0.01 degrees
• API Interface: C++ / ROS 1 / ROS 2
• Encoder Type: Single-turn absolute encoder
• Battery Specs: 25.9 V 5 Ah
• Operation Time Hours: >=8 h
• Charging Method: Manual charging, quick-release battery supported
• Charging Time: <=2 h
• Operating Temperature C: 0 to 40 C
• Operating Humidity: 10-90% RH non-condensing
• Control Model: Precision haptic feedback, whole-body teleoperation, three-gear motion scaling and end-effector adaptation