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Description
Unitree Robotics — Official Expansion Module
Unitree Expansion Compute (100 TOPS)
High-performance 100 TOPS AI expansion compute module for Unitree robots. Open to secondary development with full AI algorithm technical support. Enables advanced on-board perception, navigation, and autonomous decision-making by offloading neural network inference from the main controller to a dedicated AI accelerator.
100
TOPS AI
Open
SDK / Dev
AI
Algorithm Support
2nd
Development
Dock
Form Factor
Product Overview
The Unitree Expansion Compute (100 TOPS) is a dedicated AI acceleration module that supercharges your Unitree robot with massive on-board neural network inference capability. Delivering 100 Tera Operations Per Second (TOPS) of AI compute performance, this expansion module enables real-time processing of complex perception algorithms — including object detection, semantic segmentation, depth estimation, SLAM, and behavior prediction — directly on the robot without relying on cloud connectivity or external servers. The module is open to secondary development, providing researchers and engineers with full access to the compute stack, APIs, and development tools. Unitree provides dedicated AI algorithm technical support to help teams optimize, deploy, and debug their custom neural networks on the 100 TOPS platform.
40 TOPS AI Performance
Delivers 100 TOPS of dedicated AI inference performance — 2.5x the 40 TOPS variant for the most demanding workloads. Handles multiple concurrent neural networks in real time for perception, planning, and control.
Open to Secondary Development
Full open SDK and development environment. Access APIs, toolchains, and documentation to build, port, and optimize custom AI algorithms for your specific use case.
AI Algorithm Technical Support
Dedicated Unitree technical support for AI algorithm development. Get expert guidance on model optimization, deployment, debugging, and performance tuning.
Dock-Style Form Factor
Compact sled/dock form factor designed for seamless integration with Unitree robot chassis. Secure mechanical attachment and reliable electrical interface.
On-Board Edge Inference
Process all AI workloads on the robot — no cloud dependency, no latency from network round-trips. Essential for real-time autonomous operation.
Multi-Network Concurrency
Run multiple neural networks simultaneously — e.g., object detection + depth estimation + semantic segmentation — without frame drops or latency spikes.
AI Workloads Enabled by 100 TOPS
With 100 TOPS of dedicated AI compute, the Expansion Compute module unlocks a wide range of advanced autonomous capabilities:
Perception
Object Detection & Tracking
Real-time detection and tracking of people, obstacles, and objects in the robot's environment using YOLO, SSD, or custom detectors.
Vision
Semantic Segmentation
Pixel-level classification of terrain, walkways, stairs, and hazards for safe path planning and terrain-aware locomotion.
Navigation
Visual SLAM & Localization
On-board visual SLAM with deep learning feature extraction. Build and update maps in real time without external positioning systems.
Planning
Behavior Prediction
Predict the motion of dynamic agents (people, vehicles) to plan safe, socially aware trajectories in shared spaces.
Secondary Development & Support
The Expansion Compute module is designed from the ground up for developers, researchers, and integrators who need to push beyond factory-default capabilities:
Open SDK & APIs
Full access to compute APIs, inference engine interfaces, and sensor data pipelines. Build applications in Python, C++, or CUDA as supported by the platform.
Model Porting Tools
Toolchain support for converting and optimizing models from PyTorch, TensorFlow, and ONNX formats to the target inference runtime.
AI Algorithm Support
Direct technical support from Unitree AI engineers. Get help with model selection, architecture optimization, quantization, and deployment strategies.
Documentation & Examples
Comprehensive developer manuals, API references, and sample code for common AI tasks. Accelerate development with proven reference implementations.
Physical Integration
The Expansion Compute module features a compact dock-style form factor that slides into the dedicated expansion bay on compatible Unitree robot chassis. The mechanical design ensures secure retention during dynamic locomotion, while the electrical interface provides high-bandwidth data and stable power delivery to the AI accelerator. Installation is tool-free in most configurations, allowing quick swaps between robots or rapid field replacement.
Important Notes
- The Expansion Compute module is a paid optional accessory. Verify compatibility with your specific robot model before purchase.
- Secondary development requires programming knowledge in supported languages (Python, C++, CUDA as applicable).
- AI algorithm technical support covers guidance and troubleshooting. Custom model development remains the responsibility of the customer.
- Actual inference performance depends on model architecture, precision, batch size, and concurrent workload.
Technical Specifications
* Specifications are based on manufacturer data and may vary slightly by production batch.
* 100 TOPS performance is the theoretical peak under optimal conditions. Actual throughput depends on model architecture, precision, and workload.
* Secondary development requires appropriate programming skills and familiarity with AI/ML frameworks.
* AI algorithm technical support covers guidance and troubleshooting for supported platforms. Custom model development is the customer's responsibility.
* Verify compatibility with your specific robot model before purchase. Not all Unitree robots support the Expansion Compute bay.
* Unitree is a registered trademark of Unitree Robotics.
Description
Unitree Robotics — Official Expansion Module
Unitree Expansion Compute (100 TOPS)
High-performance 100 TOPS AI expansion compute module for Unitree robots. Open to secondary development with full AI algorithm technical support. Enables advanced on-board perception, navigation, and autonomous decision-making by offloading neural network inference from the main controller to a dedicated AI accelerator.
100
TOPS AI
Open
SDK / Dev
AI
Algorithm Support
2nd
Development
Dock
Form Factor
Product Overview
The Unitree Expansion Compute (100 TOPS) is a dedicated AI acceleration module that supercharges your Unitree robot with massive on-board neural network inference capability. Delivering 100 Tera Operations Per Second (TOPS) of AI compute performance, this expansion module enables real-time processing of complex perception algorithms — including object detection, semantic segmentation, depth estimation, SLAM, and behavior prediction — directly on the robot without relying on cloud connectivity or external servers. The module is open to secondary development, providing researchers and engineers with full access to the compute stack, APIs, and development tools. Unitree provides dedicated AI algorithm technical support to help teams optimize, deploy, and debug their custom neural networks on the 100 TOPS platform.
40 TOPS AI Performance
Delivers 100 TOPS of dedicated AI inference performance — 2.5x the 40 TOPS variant for the most demanding workloads. Handles multiple concurrent neural networks in real time for perception, planning, and control.
Open to Secondary Development
Full open SDK and development environment. Access APIs, toolchains, and documentation to build, port, and optimize custom AI algorithms for your specific use case.
AI Algorithm Technical Support
Dedicated Unitree technical support for AI algorithm development. Get expert guidance on model optimization, deployment, debugging, and performance tuning.
Dock-Style Form Factor
Compact sled/dock form factor designed for seamless integration with Unitree robot chassis. Secure mechanical attachment and reliable electrical interface.
On-Board Edge Inference
Process all AI workloads on the robot — no cloud dependency, no latency from network round-trips. Essential for real-time autonomous operation.
Multi-Network Concurrency
Run multiple neural networks simultaneously — e.g., object detection + depth estimation + semantic segmentation — without frame drops or latency spikes.
AI Workloads Enabled by 100 TOPS
With 100 TOPS of dedicated AI compute, the Expansion Compute module unlocks a wide range of advanced autonomous capabilities:
Perception
Object Detection & Tracking
Real-time detection and tracking of people, obstacles, and objects in the robot's environment using YOLO, SSD, or custom detectors.
Vision
Semantic Segmentation
Pixel-level classification of terrain, walkways, stairs, and hazards for safe path planning and terrain-aware locomotion.
Navigation
Visual SLAM & Localization
On-board visual SLAM with deep learning feature extraction. Build and update maps in real time without external positioning systems.
Planning
Behavior Prediction
Predict the motion of dynamic agents (people, vehicles) to plan safe, socially aware trajectories in shared spaces.
Secondary Development & Support
The Expansion Compute module is designed from the ground up for developers, researchers, and integrators who need to push beyond factory-default capabilities:
Open SDK & APIs
Full access to compute APIs, inference engine interfaces, and sensor data pipelines. Build applications in Python, C++, or CUDA as supported by the platform.
Model Porting Tools
Toolchain support for converting and optimizing models from PyTorch, TensorFlow, and ONNX formats to the target inference runtime.
AI Algorithm Support
Direct technical support from Unitree AI engineers. Get help with model selection, architecture optimization, quantization, and deployment strategies.
Documentation & Examples
Comprehensive developer manuals, API references, and sample code for common AI tasks. Accelerate development with proven reference implementations.
Physical Integration
The Expansion Compute module features a compact dock-style form factor that slides into the dedicated expansion bay on compatible Unitree robot chassis. The mechanical design ensures secure retention during dynamic locomotion, while the electrical interface provides high-bandwidth data and stable power delivery to the AI accelerator. Installation is tool-free in most configurations, allowing quick swaps between robots or rapid field replacement.
Important Notes
- The Expansion Compute module is a paid optional accessory. Verify compatibility with your specific robot model before purchase.
- Secondary development requires programming knowledge in supported languages (Python, C++, CUDA as applicable).
- AI algorithm technical support covers guidance and troubleshooting. Custom model development remains the responsibility of the customer.
- Actual inference performance depends on model architecture, precision, batch size, and concurrent workload.
Technical Specifications
* Specifications are based on manufacturer data and may vary slightly by production batch.
* 100 TOPS performance is the theoretical peak under optimal conditions. Actual throughput depends on model architecture, precision, and workload.
* Secondary development requires appropriate programming skills and familiarity with AI/ML frameworks.
* AI algorithm technical support covers guidance and troubleshooting for supported platforms. Custom model development is the customer's responsibility.
* Verify compatibility with your specific robot model before purchase. Not all Unitree robots support the Expansion Compute bay.
* Unitree is a registered trademark of Unitree Robotics.
Unitree
by
Unitree
Unitree Expansion Compute (100 TOPS)
- Regular price
- $3,800.00
- Sale price
- $3,800.00
- Regular price
-
Shipping calculated at checkout.
Providing the best new Tech Experience, Energy Independence and Robotics Ways of Optimisation
Providing the best new Tech Experience, Energy Independence and Robotics Ways of Optimisation
Packaging note:
Equipment is being supplied in a manufacturer packaging
