Booster Robotics T1-D - high-end version for sensitive manipulation
The Booster T1-D is the high-end version of the T1 platform - with highly developed, dexterous hands for precise, fine motor tasks. 41 DoF including 7-DoF arms and 6-DoF hands enable complex gripping and manipulation sequences in realistic environments. The combination of 200 TOPS AI computing power and multimodal sensing makes the T1-D the ideal choice for advanced manipulation and HRI research.
Highlights
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Sensitive manipulation: 2× 7-DoF arms + 2× 6-DoF hands for precise grasping, in-hand manipulation and dexterity tasks.
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High-performance compute: Intel® i7-1370P + NVIDIA® Jetson AGX Orin (32 GB), 200 TOPS for perception, planning & control in real time.
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Multimodal sensor technology: RGB-D camera, microphone array, loudspeaker, 9-axis IMU for robust interaction and stable locomotion.
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ROS 2-native: Open interfaces from low-level (joints, sensors) to high-level (movement); Isaac Sim-compatible.
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Mobile & durable: > 1 hour active operation; omnidirectional walking > 0.5 m/s.
Technical specifications
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Dimensions: approx. 1.2 m height
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Degrees of freedom (DoF): 41 total
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Legs: 2 × 6 DoF
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Arms: 2 × 7 DoF
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Hands: 2 × 6 DoF
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Waist: 1 DoF
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Head: 2 DoF
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Range of motion of large joints:
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Hip: Pitch ±118°, Roll -21° ... +88°, Yaw ±58°
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Knee: -11° ... +123°
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Ankle: Pitch -50° ... +20°, Roll ±25°
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Waist (Yaw): ±58°
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Computing unit: Intel® i7-1370P + NVIDIA® Jetson AGX Orin (32 GB), 200 TOPS AI performance
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Sensors: RGB-D camera, microphone array, loudspeaker, 9-axis IMU
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Drives/joints: Fully force-controlled; combined control (torque, speed, position); dual encoder per joint
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Battery life: > 1 hour of active operation
Software, integration & capabilities
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ROS 2 compatibility: Seamless integration into existing stacks; open APIs for low/high-level control and secondary development
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Simulation: Support for common simulators, e.g. NVIDIA Isaac Sim
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Tooling: Mobile app for network configuration and remote control
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Locomotion & manipulation: Omnidirectional walking > 0.5 m/s; explicit support for gripping, in-hand manipulation and bimanual tasks
Typical fields of application
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Dexterity & grasping research (in-hand manipulation, force/impedance control)
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Bimanual coordination, assembly & tool handling
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Human-robot interaction (HRI) & assistive scenarios
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Sensor fusion, 3D perception, scene understanding
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Teaching, benchmarking & rapid prototyping in R&D
Scope of delivery
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Remote control
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Charger
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Vertical stand for the robot
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Transport case for the robot
