FOURIER GR-2
More Agile, More Powerful, More Open
We are excited to introduce our end-to-end neural network, trained with reinforcement learning (RL), for humanoid locomotion. Leveraging Reinforcement Learning
We are excited to introduce our end-to-end neural network, trained with reinforcement learning (RL), for humanoid locomotion. Leveraging Reinforcement Learning
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We are excited to introduce our end-to-end neural network, trained with reinforcement learning (RL), for humanoid locomotion. Leveraging Reinforcement Learning
MOREabout FOURIER GR-2
Can the GR‑2 operate autonomously or does it need to be controlled?
It supports both autonomous operation and teleoperation through VR or direct control. Its level of autonomy depends on the software and settings configured by the user.
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What kind of tasks can the Fourier GR‑2 perform?
The GR‑2 can walk, grasp objects, and interact with its environment using its dexterous hands. It is designed for research, education, and light industrial applications.
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How precise are the robot’s hand movements?
The robot’s hands have 12 degrees of freedom and are equipped with tactile sensors, allowing for highly accurate manipulation. It can grasp and adjust its grip based on real-time feedback.
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