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ADLINK Technology, a global leader in edge computing, has launched the ROScube-X Series, a real-time Open Robotics ROS 2 controller for autonomous robotics applications.
ADLINK’s ROScube-X Series is powered by the NVIDIA® Jetson™ AGX Xavier module, which features an integrated NVIDIA Volta GPU, dual deep learning accelerators, and a wide variety of interfaces, including GMSL2 camera connectors for advanced robotics system integration. The ROScube-X supports the full complement of resources provided by the NVIDIA JetPack™ SDK and is specifically suited for robotics applications demanding high-performance AI computing capabilities with minimal power consumption.
The ROScube-X features:
- Powerful artificial intelligence (AI) computing for autonomous robotics development
- Qualified with Amazon Web Services (AWS) Internet of Things (IoT) solutions and works with AWS RoboMaker
- ROS / ROS 2 with Eclipse Cyclone DDS tested and optimized
- Excellent performance per watt with power consumption as low as 20W
- Rugged construction and secure connectivity with locking USB ports
- Comprehensive I/O for a wide range of devices
- Time synchronization for eight GMSL2 cameras and IMU
- Optional CAN bus and LTE-A modules
“Today’s ADLINK ROScube-X news adds to our ongoing collaboration with ADLINK to help developers easily build intelligent robotics functions via AWS,” said Roger Barga, General Manager, Robotics and Automation Services, Amazon Web Services, Inc. “With the AI compute power of ROScube-X and seamless cloud integration with AWS RoboMaker, developers get a robust toolkit that can help them tackle complex robotic lifecycle management challenges faster than before.”
“Customers can get advanced robotics products to market more quickly with ADLINK’s expertise in edge computing and deep knowledge of the Jetson platform,” said Murali Gopalakrishna, Head of Product Management, Autonomous Machines at NVIDIA. “Moreover, with support for cloud-native technologies now available across the NVIDIA Jetson lineup, manufacturers of intelligent machines and developers of AI applications can build and deploy high-quality, software-defined features on embedded and edge devices targeting robotics, industrial IoT and more.”