GR-2

GR-2

The GR-2 by Fourier Intelligence is a cutting-edge humanoid robot designed to revolutionize human-robot interaction. Standing at 175 cm and weighing 63 kg, it boasts 53 degrees of freedom and 12-DoF dexterous hands equipped with tactile sensors. Powered by seven distinct FSA 2.0 actuators, each joint delivers up to 380 Nm of torque, enabling GR-2 to perform complex tasks with precision. Its swappable battery offers up to 2 hours of runtime, and the robot supports various programming methods, including VR remote control and lead-through programming. GR-2 is ideal for applications in healthcare, research, and industrial automation.

Rating
★★★★☆(4.0)
Launch Year
2024
Price
USD 100,000 – 150,000 (Listed at approximately 125,000 for early-access units)
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Robot Specifications

Primary Use Cases
Bipedal locomotion, object manipulation, adaptive grasping, research, industrial automation, service tasks
Pet Friendly
Yes
Deployment
Remote control, AI automation, manual operation
Multi-Robot Coordination
Supported (Designed for collaborative industrial "swarm" tasks)
Goods, medical equipment
Arms, grippers, sensors
3 kg per arm (Sustained load)
6 kg

Review Videos

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GR-2 Review Video 1
GR-2 Review Video 1
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GR-2 Review Video 2
GR-2 Review Video 2
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GR-2 Review Video 3
GR-2 Review Video 3
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GR-2 Review Video 4
GR-2 Review Video 4
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Frequently Asked Questions

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Q1. What is GR-2, and what problem is it designed to solve?

GR-2 is a 175 cm tall, 63 kg humanoid robot developed by Fourier Intelligence, designed to perform complex bipedal locomotion and dexterous manipulation tasks across research, industrial automation, and embodied AI applications where human-like movement and precision handling are required.

Q2. What are the main capabilities and key features of GR-2?

GR-2 features 53 degrees of freedom including 12-DOF hands with six tactile sensor arrays, FSA 2.0 actuators delivering peak torques exceeding 380 N·m, walking speeds up to 5 km/h, single-arm lifting capacity of 3 kg, and adaptive grasping with real-time object recognition via force sensing.

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