This passive heat sink is a 4-pin fan designed for use with the NVIDIA Jetson Nano module.
The NVIDIA Jetson Nano module opens up new possibilities for edge computing and AI development.
The OS1 LiDAR (Rev 6) is another model from the Ouster OS series, offering a range of 120 metres, high-definition output data, and an image reproduction almost as accurate as a video recording.
Ouster’s OS0 LiDAR is an effective aid to robotic navigation, for highly accurate path analysis in real time.
RoboSense has now brought us a new series of LiDAR laser range finders: RS-Helios-16P. It is the lightest and most affordable model, while nonetheless offering high levels of performance, and with Ethernet connectivity too!!
The Aliengo robot dog battery provides up to 4.5 hours of autonomy for all the routine operations carried out by your four-legged mobile platform.
The new RS-Helios-32-5515 3D LiDAR laser range finder uses long-range detection and blind spot elimination to facilitate your robotic vehicle’s autonomous navigation.
This evaluation kit for the u-blox 7 GNSS positioning module makes developing projects involving geolocation easier. If you’re looking for an efficient solution at low energy cost, this kit was designed for you!
If you’re in need of a 3D laser range finder that’s highly reliable but more affordable than RoboSense’s flagship products, look no further. RS-Ruby has introduced a mid-range model, the RS-Ruby Lite, which will fully satisfy developers of solutions for unmanned vehicles.
Light, compact, economical, and supporting up to 31 configurable detection areas: the Hokuyo UST-05LA laser range finder is most particularly intended for obstacle detection and localisation applications.
A 4-port USB charger for use with all your USB-powered devices, with up to 2.4A per port. Ideal for charging your little tribe of educational robots!
Equip your board with a mini camera for Raspberry Pi Zero and experiment with new video projects.
The Hokuyo YVT-35LX laser range finder – 3D LiDAR combines a multi-echo function and an on-board IMU sensor providing the most accurate 3D mapping outdoors, in all weather.
The Hokuyo UXM-30LAH-EWA laser range finder is one of the longer-range models from the Japanese LiDAR manufacturer. In ideal conditions, it can detect objects up to 120 m.
The future of autonomous vehicles is shaping up with Robosense's RS-Ruby 3D laser Rangefinder, a Lidar with impressive performance and effecient in all weathers.
The RS-Lidar-M1 Laser Rangefinder is a high resolution sensor designed for equipping vehicles with autonomous navigation systems. It facilitates decision making by detecting, analyzing and classifying possible obstacles.
For researchers and teachers looking for an even more advanced solution than the RS-Fusion-P3 system, there is the RS-Fusion-P5 from Robosense. The very high-definition combination of one LIDAR RS-RUBY and four LIDAR RS-BPearl, to combine long and short-range detection.
RS-Fusion-P3 from Robosense is a complete and advanced obstacle detection system. It integrates 2 sets of 16 beam LiDAR and 1 set of 32 beam LiDAR to develop your autonomous driving system.
The RoboPad magnetic system offers a charging solution for automated robots and vehicles. It is composed of a fixed base and a mobile collector.
The new generation of SICK microScan3 Core safety laser scanners for industrial environments combine high-performance scanning technology and smart integration.
Specifically designed for indoor robotics, the Hokuyo UST-05LN LiDAR is a compact, lightweight, and very accurate obstacle detection sensor.
The Hokuyo PBS-03JN range finder is perfect for obstacle detection applications on autonomous mobile platforms. Small in form and light in weight, it integrates into any robotised systems.
Offering a scanning time almost four times faster than the URG-04LX telemeter, the Hokuyo UBG-04LX-F01 laser range finder remains very compact with a low power consumption.
Suitable for a wide range of indoor and outdoor applications, the SICK LMS111-10100 Laser Range Finder offers an excellent compromise between compact size, cost and performance.