Booster Robotics T1-D

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

• Sensitive manipulation: 2× 7-DoF arms + 2× 6-DoF hands for precise grasping, in-hand manipulation and dexterity tasks.

• High-performance compute: Intel® i7-1370P + NVIDIA® Jetson AGX Orin (32 GB), 200 TOPS for perception, planning & control in real time.

• Multimodal sensor technology: RGB-D camera, microphone array, loudspeaker, 9-axis IMU for robust interaction and stable locomotion.

• ROS 2-native: Open interfaces from low-level (joints, sensors) to high-level (movement); Isaac Sim-compatible.

• Mobile & durable: > 1 hour active operation; omnidirectional walking > 0.5 m/s.

Technical specifications

• Dimensions: approx. 1.2 m height

• Degrees of freedom (DoF): 41 total

  • Legs: 2 × 6 DoF

  • Arms: 2 × 7 DoF

  • Hands: 2 × 6 DoF

  • Waist: 1 DoF

  • Head: 2 DoF

• Range of motion of large joints:

  • Hip: Pitch ±118°, Roll -21° ... +88°, Yaw ±58°

  • Knee: -11° ... +123°

  • Ankle: Pitch -50° ... +20°, Roll ±25°

  • Waist (Yaw): ±58°

• Computing unit: Intel® i7-1370P + NVIDIA® Jetson AGX Orin (32 GB), 200 TOPS AI performance

• Sensors: RGB-D camera, microphone array, loudspeaker, 9-axis IMU

• Drives/joints: Fully force-controlled; combined control (torque, speed, position); dual encoder per joint

• Battery life: > 1 hour of active operation

Software, integration & capabilities

• ROS 2 compatibility: Seamless integration into existing stacks; open APIs for low/high-level control and secondary development

• Simulation: Support for common simulators, e.g. NVIDIA Isaac Sim

• Tooling: Mobile app for network configuration and remote control

• Locomotion & manipulation: Omnidirectional walking > 0.5 m/s; explicit support for gripping, in-hand manipulation and bimanual tasks

Typical fields of application

• Dexterity & grasping research (in-hand manipulation, force/impedance control)

• Bimanual coordination, assembly & tool handling

• Human-robot interaction (HRI) & assistive scenarios

• Sensor fusion, 3D perception, scene understanding

• Teaching, benchmarking & rapid prototyping in R&D

Scope of delivery

• Remote control

• Charger

• Vertical stand for the robot

• Transport case for the robot