Fourier GR-1
The Fourier GR-1 is a full-size general-purpose humanoid robot standing approximately 165 cm tall and weighing 55–63 kg, unveiled in July 2023 by Shanghai-based Fourier Intelligence. The platform operates in both teleoperation and autonomous modes and is positioned as a research and early-deployment system with approximately 100 units delivered to laboratories by early 2024.
Overview and Use Cases
The Fourier GR-1 is a full-size humanoid robot developed by Fourier Intelligence, a company founded in 2015. The platform was unveiled in July 2023 and is designed primarily for research applications and early-stage deployments rather than mature commercial production. As of early 2024, approximately 100 units had been delivered to research laboratories and institutions. No publicly confirmed paid commercial deployments have been announced.
The robot operates in two primary modes: teleoperation, where an operator controls the system remotely, and autonomous operation, where the robot executes tasks independently. Research publications have demonstrated autonomous manipulation capabilities at meaningful success rates, though autonomous functionality remains at the research and development stage rather than production-proven performance levels.
Key Capabilities
- Mobility: Walking speed of approximately 1.4–1.5 m/s (5–5.4 km/h)
- Manipulation: Dexterous hands with payload capacities of 3 kg per single hand, 10 kg for bilateral coordinated tasks, and 50 kg deadlift capacity
- Operation modes: Both teleoperation and autonomous control
- Task demonstration: Research-validated autonomous manipulation tasks
Specifications
- Height: Approximately 165 cm
- Weight: 55–63 kg
- Degrees of freedom: 40–54 (reported values vary across sources)
- Actuation: Fourier Smart Actuators
- Hand design: Dexterous hands enabling manipulation tasks
- Battery runtime: Approximately 1–2 hours per charge (sources vary)
Applications
The GR-1 platform serves research institutions and laboratories investigating humanoid robotics, autonomous manipulation, and robot learning. Its design supports investigation of both remote teleoperation workflows and autonomous task execution, making it applicable to research in human-robot interaction, manipulation skill transfer, and autonomous system development.
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