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Overview
Stanford Mobile ALOHA. Complete. Out of the Box.
The D1-T kit brings the full Stanford Mobile ALOHA architecture to your lab without the months of hardware sourcing, integration, and calibration that typically precede serious manipulation research. Four Unitree D1 servo arms are configured in a leader-follower teleoperation setup, enabling researchers to collect high-fidelity bimanual demonstration data from day one. The included teaching handle and communication module provide an intuitive, low-latency teleoperation interface, while the complimentary Stanford Mobile ALOHA open-source package delivers a complete software stack — compatible with ACT, Diffusion Policy, and other leading imitation learning frameworks. Whether you're training manipulation policies, studying human-robot interaction, or prototyping autonomous systems, the D1-T gives your team the platform to move fast and publish results.
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The Complete Stanford Mobile ALOHA Robot. Ready to Deploy.
The Unitree D1-T Four Servo Arm Teleoperation Kit is the complete hardware implementation of the Stanford Mobile ALOHA robot — one of the most influential open-source bimanual manipulation platforms in robotics research. Designed for teams ready to move beyond simulation and into real-world imitation learning, teleoperation, and autonomous manipulation research, this kit delivers everything needed to get started immediately.
Built around four Unitree D1 servo arms and a full teleoperation hardware suite, the D1-T enables researchers to collect high-quality demonstration data, train manipulation policies, and deploy learned behaviors on a proven, open-architecture platform. The complimentary Stanford Mobile ALOHA open-source software package is included, providing a complete end-to-end research stack out of the box.
What's Included
- 4 × Unitree D1 Servo Arms (2 leader + 2 follower configuration)
- Teaching handle for intuitive teleoperation
- Teaching hub and communication module
- Complete Stanford Mobile ALOHA open-source software package
Key Capabilities
- Bimanual manipulation via leader-follower teleoperation architecture
- High-quality demonstration data collection for imitation learning
- Compatible with ACT, Diffusion Policy, and other manipulation learning frameworks
- Open-source hardware and software for full research customization
- Proven platform used in leading academic and industry robotics research
Ideal Applications
- Imitation learning and behavior cloning research
- Bimanual manipulation algorithm development
- Human-robot interaction and teleoperation studies
- University and enterprise robotics research labs
- Autonomous manipulation system prototyping