- Low latency, scalable dedicated AI accelerator
- MCU supports real-time motor control
- ROS2 with DDS enables timely communication and interoperability
Application Cases of Wafer Transport Robots
Compact robot controller
TAC-3000-NX
- Support NVIDIA ® JetsonTM SO-DIMM connector core board
- High performance AI controller with up to 100TOPS computing power
5G LTE
- TDD LTE/FDD LTE/WCDMA/GPS
- Support Region: Global
Ready to use standard systems: rapid construction and expansion
- Production board facilitates sample development and large-scale deployment
- Up to 100 TOPS (INT8) of computing power
- Supports JetPackTM 5.1 SDK
Small size to adapt to narrow spaces
- Easily deploy products to various application scenarios without sacrificing space
- Adopting modular heat dissipation design to adapt to a unified quasi system design
Scalable I/O design to meet different application requirements
- M.2 extensions for initiating and wireless connections: M key for NVMe and B key for wireless applications
- Connect edge devices and peripheral devices through USB, RS-485, GPIO, CAN, and LAN
Application Cases of Wafer Transport Robots
Application challenges
- Ensure stability and flexibility, reduce vibration
- Improve the accuracy of obstacle avoidance
- Maintain a higher level of security during human-machine collaboration
- The design of the robot needs to be fine tuned to meet the requirements of the cleanroom
Solution
- Compact design with a vibration tolerance of 3.5 Grms
- Sensor fusion requires safe and accurate navigation of automatic meter reading systems
- Used to integrate a simple ROS/ROS2 development ready environment
- 21TOPS native AI reasoning ability provides computing power support for obstacle avoidance
Advantages of the plan
- Easy to deploy production lines and factory automatic meter reading systems
- Enhanced data processing from sensing, driving to integration
- Lower power consumption requirements and higher edge AI performance
- Shortened development time and improved efficiency
- Flexible design for internal logistics and AMR demand adjustment
