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Magicbot X1

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Description

Summary:

 

The Magicbot X1 (also referred to as AgiBot X1 in some sources) is a hackable humanoid platform built for universities, labs, and developers. It emphasizes open‑source hardware/software, modularity, and reinforcement‑learning locomotion.

 

Editorial:

 

Unlike industrial robots such as CyberOne V2 or Calvin‑40, Magicbot X1 is not intended for factory deployment. Instead, it fills a critical gap by offering a low‑cost, fully open platform where researchers can modify hardware, software, and AI frameworks without restrictions.

 

Classification:

 

Type: Compact humanoid robot

 

Morphology: Bipedal, humanlike torso with arms and head

 

Category: Humanoid (research + education class)

 

Conclusion: Magicbot X1 is a humanoid robot optimized for academic research, robotics education, and AI embodiment experiments.

 

Specifications:

 

Dimensions & Build

 

Height: 130 cm

 

Weight: 33 kg

 

Frame: CNC‑machined aluminum + composite shell

 

Degrees of Freedom

 

Total DoF: 34 across 29 joints

 

Performance

 

Walking speed: 1 m/s (3.6 km/h)

 

Payload capacity: 0.5 kg per arm

 

Battery life: ~2 hours

 

Actuators: PowerFlow quasi‑direct‑drive servo motors (200 Nm peak torque on hips/knees)

 

Sensors & AI

 

Vision: RGB‑D cameras, optional LiDAR

 

Balance: IMU + force sensors

 

Compute: User‑supplied (x86 PC or NVIDIA Jetson)

 

OS/SDK: Open‑source AimRT middleware, ROS2 compatible

 

AI: Reinforcement learning locomotion, sim‑to‑real pipelines (Isaac Gym, MuJoCo)

 

Applications:

 

University labs — locomotion, manipulation, embodied AI

 

Maker communities — DIY humanoid projects

 

Education — teaching robotics and AI concepts

 

Research — reinforcement learning, sim‑to‑real transfer

 

What Is Not Published:

 

Exact commercial pricing (quoted case‑by‑case, typically under USD 20,000)

 

Long‑term durability data

 

Industrial deployment case studies

 

Image: @AIIXXAI

 

Company Source:

 

https://youtu.be/yTq2O5gcU3w?si=0oMXvLqNZaTivBUn

 

News & Coverage:

 

https://youtu.be/yTq2O5gcU3w?si=H3NgL9AmpL3a9TZn