ADLINK Technology has launched the ROScube-X Series. It is a real-time ROS 2 robot controller for advanced robotics applications.
ADLINK’s ROScube-X Series is powered by the NVIDIA Jetson AGX Xavier module. It features NVIDIA Volta GPU, dual deep learning accelerators, and a range of other interfaces which includes GMSL2 camera connectors for advanced robotics system integration. It is best suited for robotics applications which demand a high AI computing capability with minimum power consumption.
The ROScube-X features:
- Powerful AI computing for intelligent robotics development
- Excellent performance per watt with power consumption as low as 20W
- Ruggedized, secure connectivity with locking USB ports
- Comprehensive I/O for connecting a wide range of devices
- Time synchronization with GMSL2 camera and IMU
The Robotic systems based on the ROScube-X are mainly supported by ADLINK’s Neuron SDK. It is a platform mainly designed for professional robotic applications. The recently launched ROS 2 Foxy Fitzroy Neuron SDK, the customers enjoy a wide variety of benefits such as long-term support and ADLINK’s quality-guaranteed services for ROScube.
Dr. Ryan Chen, Director of the Advanced Robotic Platform Group at ADLINK said that ADLINK is working with NVIDIA to produce high-performance AI computing and the all new ROScube-X enables integration of advanced robotic applications which allows the industrial and commercial customers to take their business operations to a new level and create new level of productivity. They have also designed the ROScube-X an integrated hardware and software solution which provides the users a powerful and sustainable deployment of their models. This also helps in giving the customers a competitive edge as it provides them with a platform to develop robotics solutions in a faster manner and also allow them to choose their hardware solution at deployment time.
The NVIDIA Jetson embedded AI computing platform provides high-performance and low-power computing for deep learning. The platform also includes small form-factor Jetson modules with GPU-accelerated parallel processing, the JetPack SDK with developer tools and a set of libraries for building AI applications.
Murali Gopalakrishna, Head of Product Management, Autonomous Machines at NVIDIA said that customers can market the advanced robotic products quickly with ADLINK’s expertise in edge computing and deep knowledge of the Jetson platform. Also the cloud-native technologies are ow available across NVIDIA Jetson lineup, manufacturers of intelligent machines. The AI developers can build and deploy high-quality software with defined features on embedded and edge devices targeting robotics, industrial IoT and many more.
