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- RoboSense RS-Cube
- Features a perception algorithms unit for 3D laser rangefinders
- Detects, classifies, and identifies obstacles in its environment
- Recognizes free spaces
- Creates a true scalable 3D point cloud
- Collects analyze and categorize data in real-time
- Compatible with JETSON AGX Xavier and NVIDIA's Cuda
The RoboSense RS-Cube is a perception algorithms unit for 3D laser rangefinders. Its task is to collect and analyze the data transmitted by your Robosense RS-Lidar-16 and RS-Lidar-32 rangefinders.
This perception algorithms unit is compatible with JETSON AGX Xavier and NVIDIA's Cuda and will greatly facilitate the installation of autonomous driving systems on your industrial robots, surveillance vehicles, and other unmanned vehicles.
It collects, analyzes, and categorizes data in real-time to create a truly scalable 3D point cloud. With RS-Cube, Robosense provides you with a module whose performance is based on more than 10 years of experience in processing algorithms, and on the cross-management of these algorithms with the latest advances in artificial intelligence.
This perception algorithms unit allows you to develop navigation systems for your delivery and security robots, autonomous transport vehicles, or small sanitary vehicles. It is therefore equipment that is perfectly adapted to the requirements of industrialists and researchers.
- 1 x RoboSense RS-Cube
- 132.5 x 110.5 x 62.4 mm (L x W x H)
- GPU: 512-Core Volta GPU with 64 Tensor Cores, 11 TFLOPS (FP16), 22 TOPS (INT8)
- DL Accelerator: (2x) NVIDLA Engines, 5 TFLOPS (FP16), 10 TOPS (INT8)
- CPU: 8-core Carmel ARM v8.2 64-Bit CPU, 8 MB L2 + 4MB L3
- Memory: 16 GB 256-Bit LPDDR4x, 2133 MHz - 137 GB/s
- Storage: 32 GB eMMC 5.1
- Interface: SATA Through PCle x1 Bridge+ USB 3.0 (PD+ Data for 2.5-inch SATA)
- Operating voltage: 9 V - 10 A - 20 V 4.5 A
- Power consumption: 10 W, 15 W, or 30 W