Robotic Arm

GripperGo Pro captures gripper operation data with 1mm positioning, 1ms multimodal sync, 0–100mm opening, 20N force, and 200Hz IMU. Ideal for embodied AI, robot learning, imitation training, research labs, and standardized data collection.

HeadGo Ego captures 21 hand keypoints, depth, timestamps, and trajectories with binocular/RGB vision. Ideal for embodied AI, robot learning, imitation training, and field data collection.

Features：Isomorphic leader–follower teleoperationHigh-payload dual-arm research platformEmbodied AI & robot learning readyROS2 + NVIDIA Isaac supportIntegrated industrial PC + complete software stackProven application coverage

Ideal For:• Research & EducationUniversities, research labs, and robotics coursesDual-arm manipulation studies, teleoperation experiments, and AI teachingHands-on embodied AI and VLA workflow exploration• Rapid POC ValidationValidate VLA workflows in real-world robotic applicationsTeleoperation, data acquisition, AI training pipelines, and autonomous tasksTasks: grasping, assembly, insertion, transport, imitation learning, simulation-to-real experiments

Key Features：Immersive VR TeleoperationReal-Time Motion MappingDual-Arm Bimanual ControlEmbodied AI & VLA-Based Learning ReadyROS2 & NVIDIA Isaac CompatibleHigh-Quality Data CollectionVersatile Application ScenariosIdeal for remote manipulation, robotic assembly, telepresence, AI training, and academic research.

Ideal For: University & Research Labs – Embodied AI & Robot LearningHazardous & Specialized Scenarios – Remote Manipulation & TeleoperationRobotics & Industrial R&D – Dual-Arm Assembly & Human–Robot CollaborationTeaching Labs, Training & Demos – Robotics Education & Hands-On SkillsHigh-Payload 14-DOF Dual ArmsCloud-Native, Full-Stack Open EcosystemRich, Extensible Hardware EcosystemIsomorphic Leader–Follower Teleoperation (Optional)

Ideal For:• Research & EducationUniversities, research labs, and robotics coursesHuman demonstration collection, dual-arm manipulation studies, and embodied AI teachingHands-on VLA workflow exploration with real human motion data• Rapid VLA ValidationValidate VLA workflows using real human demonstration datasetsTeleoperation data collection, AI training pipelines, imitation learning, and autonomous robotic executionTasks: grasping, assembly, insertion, transport, simulation-to-real experiments

Compatible with OpenArm14 DOF Dual-Arm Design< 20 ms Ultra-Low LatencyAdjustable Arm Length for Custom Fit14-bit Absolute Encoders for Precision TrackingSDK Included – Easy Integration & Control

6 Independent Degrees of Freedom 10 m/s Max End-Effector Linear Speed 3.5 kg Max Payload 1 mm Repeatability

6 Independent Degrees of Freedom 10 m/s Max End-Effector Linear Speed 3.5 kg Max Payload 1 mm Repeatability

Function & Use：· Teleoperation: Control robotic arms through the wearable exoskeleton· Data Acquisition & Motion Analysis: Capture precise human motion data for AI training, learning, and robotics development· Scientific & Educational Use: Used in research experiments, teaching, and robotics courses for interactive controlKey Features:· High-Precision Motion Capture· Natural & Intuitive Control· Lightweight & Ergonomic· Rapid Response· Wide Compatibility

6 Independent Degrees of Freedom 10 m/s Max End-Effector Linear Speed 3.5 kg Max Payload 1 mm Repeatability