N2 Compact
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Noetix Robotics

N2 Compact

$9,000

Noetix N2 packs biped agility into a compact, safer form factor. With five joint legs, four joint arms, and compliant actuation, it can run, hop, and perform dynamic motions without the mass and risk of larger humanoids. Its small footprint lets teams operate it comfortably in classrooms, research labs, and tight indoor spaces.

Overview

The platform runs Linux on an RK3588s, with Jetson based variants shown for higher AI workloads. It supports speech and visual interaction hooks and offers Ethernet, USB, and HDMI for fast development.

Developers can bring their own models and tools, using Python or C++ to build behaviors, interfaces, and research pipelines.

Applications & Use Cases

Education teams can use N2 to teach locomotion, perception, and human robot interaction. R and D groups can mount sensors, test AI models, or connect to ROS and custom control stacks.

Because it is fast but lightweight, it also fits early elder care and home assist scenarios where safety, size, and maneuverability matter more than heavy payloads.

Technical Specifications

· Height: 118 cm

· Weight: 30 kg

· Overall DoF: 18

· Top speed: 12.6 km/h

· Walking payload / strength: around 5 kg

· Runtime per charge: about 2 hours

· Battery: 48 V / 7 Ah, slide out swap in a few seconds

· Actuators: 48 V DC geared motors with encoders, high peak joint torque

· Joint layout: 5 powered joints per leg, 4 per arm

· Perception: structured light depth camera, forward and down slanted views

· CPU / GPU: Rockchip RK3588s, Jetson variants shown

· OS: Linux

· Connectivity: Ethernet, USB, HDMI

· LLM / AI: supports speech and visual hooks, generative AI on Jetson builds

· Hands / fingers: default ball hand, optional 5 finger end effectors

· Markets / use cases: education, labs, elder care pilots, home assistance, embodied AI research

· Status: Prototype

· Manufacturer: Noetix Robotics

FAQ

1. Who is Noetix N2 for Mainly education teams, labs, and developers who want a compact, safe humanoid to explore mobility and AI

2. Can it be used in tight indoor spaces Yes. Its 118 cm height, 30 kg weight, and depth sensing make it suitable for classrooms, corridors, and small labs.

3. How long does it run About 2 hours per charge, and the battery can be swapped in a few seconds to keep demos going.

4. Can I integrate my own AI or ROS stack Yes. It runs Linux and exposes common interfaces, so you can add ROS, vision models,

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