QArm Research
An integrated platform to kickstart and accelerate end-to-end research workflows.
The Quanser QArm Research is a precise, highly instrumented 6-DOF robotic manipulator designed for advanced robotics research and education. It gives academics a safe, open-architecture, accurate & repeatable platform with multiple control modes for developing intelligent manipulation workflows. The NVIDIA-powered manipulator is ideal for applications ranging from classical control to perception-driven manipulation, imitation learning, reinforcement learning, and AI policy deployment.
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Product Details
QArm Research has been specifically enhanced for modern Physical AI workflows through a compact edge compute node and an integrated yet diverse software stack. The platform supports MATLAB®/Simulink®, Python®, ROS 2™, NVIDIA Isaac®, major AI libraries, and a high-fidelity digital twin. This creates a connected pipeline for data generation, model training, simulation validation, and physical deployment. An extensive library of research and education examples, along with end-to-end workflows, helps reduce setup complexity, accelerate experimentation, and make advanced robotics and Physical AI research more accessible to users across different disciplines, departments, and levels of expertise.
QArm Research can be used as a standalone manipulator platform, or integrated into larger Quanser lab solutions, including the Physical AI Lab and Intelligent Automation Lab. When combined with Haptic Robot teleoperation, QBot Platform, conveyors, and additional sensing, it becomes part of a broader ecosystem for developing intelligent robotic systems and advancing Physical AI research in a safe and academically appropriate environment.
Physical AI-ready
Connected pipeline for end-to-end workflows, from data generation and model training to simulation validation and physical deployment.
Research Workflows
Guided examples and research modules to accelerate integration & experimentation for varying levels of experience.
Open Architecture
Full access to current, velocity, and position loops with flexible I/O integration
Integrated Robotics Lab
Connects with QLabs, NVIDIA Isaac Sim, Haptic Robot, QBot Platform, conveyors
| Degrees of Freedom | 6 DOF robotic serial manipulator (J1 Yaw | J2 J3 J4 Pitch | J5 Yaw | J6 Roll) |
| Payload | 3 Kg |
| Reach | 580 mm |
| Weight | 13.5 Kg |
| Repeatability | ±0.05mm |
| Joint Precision | 0.088° |
| Joint Range | J1, J2, J4, J5, J6: ±360°; J3: ±150° |
| Actuators | J1, J2: YM080-230-A099-RH; J3-J6: YM070-210-A099-RH |
| Camera | Intel RealSense D405 |
| End-effector | RH-P12-RN robot hand |
| End-effector expansion | 24V tool power, RS485, digital I/O, analog input |
| Host interface | Ethernet |
| Compute | QBrain – NVIDIA AGX Orin computer |
| Software Support | MATLAB/Simulink, Python, ROS 2, C++ |
| Simulation Support | NVIDIA Isaac Sim | NVIDIA Isaac Lab |
| Digital Twin Support | Quanser Interactive Labs |
*Subject to change
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