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Robot Model

RB-Y1

The RB-Y1 is a semi-humanoid dual-arm mobile manipulator developed by Rainbow Robotics and commercially launched in May 2024. Featuring 24 degrees of freedom, omnidirectional mobility via Mecanum wheels, and LiDAR-based autonomous navigation, it is positioned as an open-platform research and advanced manufacturing system.

Overview and Use Cases

The RB-Y1 is a semi-humanoid mobile manipulator developed by Rainbow Robotics. The system was commercially launched in May 2024 and is available in two pricing tiers: $80,000 USD for research applications and $120,000 USD for commercial deployment.

The platform is designed primarily as a developer and research tool, with support for teleoperation and an open software development kit (SDK). The autonomy capabilities of the system depend on the specific application and algorithms implemented on top of the platform; autonomous task execution beyond navigation has not been independently verified as a standard out-of-the-box capability.

Key Capabilities

  • Dual-arm manipulation: Dual 7-DOF arms with 3 kg payload per arm (6 kg maximum combined payload)
  • Integrated mobility: 6-DOF leg and torso system enabling postural adjustment and dynamic locomotion
  • Omnidirectional movement: Mecanum wheels providing movement in multiple directions without rotation
  • Autonomous navigation: LiDAR-based perception and navigation system
  • Teleoperation support: Remote control capabilities for operator-directed task execution
  • Open SDK: Developer-friendly software platform for custom application development

Specifications

  • Total degrees of freedom: 24 DOF (dual 7-DOF arms + 6-DOF leg/torso)
  • Height: 140 cm
  • Weight: 131 kg
  • Maximum speed: 1.5 m/s (5.4 km/h)
  • Payload capacity: 3 kg per arm; 6 kg dual-arm maximum

Applications

The RB-Y1 is positioned for research applications in robotics and artificial intelligence, as well as advanced manufacturing environments. Its configuration as an open platform with SDK support suggests use cases involving algorithm development, task learning, and custom industrial application deployment.

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