SLAMcore offers NVIDIA customers the first ‘out-of-the-box’ SLAM solution for the NVIDIA Jetson Xavier NX. Rather than spending months of development time adapting open-source solutions or attempting to build SLAM software in-house, customers can now download and run the SLAMcore Spatial Intelligence software on the Jetson Xavier NX to use advanced SLAM capabilities within minutes.
SLAMcore’s software provides advanced location, mapping and perception capabilities for use in robots, consumer electronics, and other devices. Jetson Xavier NX is the first Embedded Edge Arm-based architecture to be supported ‘out of the box’ by SLAMcore and joins a hardware portfolio of carefully selected solutions optimized to use the SLAMcore software. SLAMcore plans to offer accelerated SLAM on the full Jetson family of products.
NVIDIA’s Jetson Xavier NX is designed specifically for autonomous machines. With a small form-factor, it uses just 10W of power but is powerful enough to run parallel neural networks and process data from multiple high-resolution sensors in real time. As such it can easily support SLAMcore’s computationally efficient SLAM algorithms alongside other processes needed by the robot or device.
Owen Nicholson, CEO at SLAMcore, said, “The NVIDIA Jetson family is one of the most powerful and versatile embedded solutions for robotics, so joining their partner network is a significant milestone for us. We are now able to reach the many customers using the Jetson range of embedded processors, and NVIDIA customers now have instant access to advanced SLAM capabilities for their chosen module. SLAM is a complex and significant hurdle for any developer looking to create autonomous robots or consumer electronics products for real-world scenarios. Using the Jetson Xavier NX and the SLAMcore Spatial Intelligence software is a fast and cost-effective solution for these challenges.”
“SLAMcore’s ability to offer turn-key solutions for the Jetson edge AI platform gives developers of robotics and industrial applications immediate access to accelerated and advanced location and mapping capabilities that will accelerate development and deployment of new commercial products,” said Murali Gopalakrishna, Head of Product Management, Autonomous Machines and General Manager for Robotics at NVIDIA.
