ROScube-X controller
leverages NVIDIA Jetson AGX Xavier to accelerate development of advanced
robotics systems
ADLINK Technology, a global
leader in edge computing, has launched the ROScube-X Series, 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, 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 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
Robotic systems based on
the ROScube-X are supported by ADLINK’s Neuron SDK, a platform specifically
designed for the professional robotic applications such as autonomous mobile
robots (AMR). With the newly released ROS 2 Foxy Fitzroy (codename "foxy"),
Neuron SDK customers can enjoy the benefits of long-term support (LTS), as well
as ADLINK's quality-guaranteed services for ROScube.
“ADLINK is working closely
with NVIDIA to empower high-performance AI computing at the edge and our new
ROScube-X enables integrators to develop and deploy advanced robotics
applications faster and easier than ever, allowing our industrial and
commercial customers to take their business operations to next level and create
new value in their product lines,” said Dr. Ryan Chen, Director of the Advanced
Robotic Platform Group at ADLINK. “We have also designed the ROScube-X as an
integrated hardware and software solution which provides users a vantage point
from which to optimize AI value by enabling powerful and sustainable deployment
of their models. This gives our customers a competitive edge by providing them
with a platform to immediately develop robotics solutions and allowing them to
choose their hardware solution at deployment time.”
The
NVIDIA Jetson embedded AI computing platform provides high-performance,
low-power computing for deep learning and computer vision to make it possible
to build software-defined autonomous machines. Now with cloud-native support,
the platform includes small form-factor Jetson modules with GPU-accelerated
parallel processing, the JetPack SDK with developer tools and comprehensive
libraries for building AI applications, along with an ecosystem of partners
with services and products that accelerate development.