N2 (Athlete)

N2 (Athlete)

The Noetix N2 (Athlete) is a child-sized bipedal humanoid robot optimized for agility and dynamic performance, standing 118 cm tall and weighing 30 kg with 18 degrees of freedom. It achieves top speeds of 12.6 km/h, performs continuous backflips, running, jumping, and dancing through a lightweight bionic structure that minimizes limb inertia by positioning heavy joints near the torso. Powered by NVIDIA Jetson edge AI computing up to 67 TOPS, it enables real-time 3D perception via dual structured-light depth cameras, object recognition, motion planning, and LLM-driven speech-visual interaction. Designed for safe household operation, the N2 supports anthropomorphic walking, gesture recognition, and autonomous decision-making. Its modular control and expressive movements make it ideal for education, elder care, home assistance, and social robotics, demonstrating advanced balance, aerial rotation, and human-like fluidity in indoor environments.

Manufacturer
Noetix Robotics
Rating
★★★★☆(4.0)
Launch Year
2025
Price
USD 5,500 – 9,000
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Robot Specifications

Primary Use Cases
Home assistance, education, elder care, fashion shows, sports demonstrations
Pet Friendly
Yes, with safety protocols
Deployment
Teleoperation, autonomous, learned behaviors
Multi-Robot Coordination
Supported (Demonstrated in 2026 Gala fleet)
Tools, packages, precision instruments, people interaction
Tool changers, end-effector options
5 kg per arm
10 kg

Review Videos

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N2 (Athlete) Review Video 1
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N2 (Athlete) Review Video 2
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N2 (Athlete) Review Video 3
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N2 (Athlete) Review Video 4
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Frequently Asked Questions

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Q1. What is N2 (Athlete), and what problem is it designed to solve?

N2 (Athlete) is a child-sized humanoid robot developed by Noetix Robotics, a Chinese manufacturer. According to the company, it addresses challenges in agile mobility for education, elder care, and home assistance through its compact bipedal design.

Q2. What are the main capabilities and key features of N2 (Athlete)?

N2 (Athlete) demonstrates agile locomotion including running, jumping, and backflips, supported by edge AI computing and 3D depth cameras. It uses deep reinforcement learning for anthropomorphic walking and integrates speech-visual interaction via large language models.

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