NERO

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Product Description

NERO is a lightweight 7-DOF robotic arm for embodied AI and humanoid robot research. With a human-like 7-axis redundant design, it delivers natural, anthropomorphic motion, making it ideal for upper-body humanoid robot development and embodied AI research.

Product Specifications

DoF: 7 Repeatability: ±0.1mm Payload: 3kg Reach: 580mm Weight: 4.8kg Input Voltage: DC24V Consumption: Max<150W; Average<60W Material: Aluminum & Plastic Housing Controller: Integrated Communication: CAN/ HTTP/ TCP Control Method: Drag Teaching/ Offline Trajectory/ API/ PC External Interface: Power*1/ CAN*1/ Network*1 Base Installation Dimensions: 70mm*70mm*M5*4 Operating Environment: Temperature: 0-50°C; Humidity: 25%-85%; Non-Condensing Noise: <60dB Installation: Table/Side/ Upside Down Mounting Joint Maximum Speed: J1:180°/s, J2:180°/s, J3:180°/s, J4:225°/s, J5:225°/s, J6:225°/s, J7:225°/s Joint Motion Range: J1:-157°~157°, J2:-15°~190°, J3:-160°~160°, J4:-60°~125°, J5:-160°~160°, J6:-43°-58°, J7:-90°~90°

Company Profile

AgileX Robotics

Founded in 2016, Songling Technology is a world-leading robotics technology platform company dedicated to accelerating innovation in embodied intelligence and the global commercialisation of robotics through full-stack robotics technology and an open-source ecosystem. Building on its proprietary multi-modal mobile platform technology, Songling continues to push the boundaries of motion control, environmental perception and intelligent decision-making. Through core products such as its proprietary robotic arms, data acquisition devices and mobile composite robots, the company provides robotic solutions for academic research and industrial innovation. To accelerate the development of the robotics industry, Songling has launched the “Million-Level” Data Empowerment Initiative, providing fundamental support for AI training and algorithm iteration to developers worldwide. Songling is deeply involved in global open-source communities such as ROS and Hugging Face, working with partners to build an innovation ecosystem encompassing “technology R&D – scenario validation – commercial deployment”, thereby driving robotics technology from the laboratory towards large-scale application.
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