Plug and Play your Innovative Ideas!
Some of our products:
DART
The DART multirotor was designed with developers' needs in mind. The goal is to provide a platform that simplifies and accelerates the development of innovative applications in the field of robotics. Examples of use include creating 3D maps of indoor and outdoor environments, autonomous navigation in unknown areas, environmental parameter monitoring, and more.
For this reason, the vehicle can be equipped with NVIDIA GPU accelerators to handle applications requiring high computational power, such as Computer Vision or Neural Networks. The vehicle has an integrated MIPI camera for remote piloting and features a mounting system for additional payloads, supporting various types of sensors: stereo cameras, thermal cameras, multispectral cameras, and radars.
Particular attention has been given to safety. The firmware has been developed to include failsafe routines. For example, it is possible to enable low-level monitoring of application status and configure recovery methods in case of abnormal behavior.
The system comes with an API that allows low-level interfacing with the vehicle's sensors and actuators. Currently, the API libraries are available in C++ or as ROS and ROS2 modules.
Specifications
- Weight [lb]: 2.8
- Dimensions [inches]: 10.2 x 11.8 x 5.5
- Payloads: 1 Camera or Radar (es. Intel T265, Intel D457, Stereolabs Zed mini, Awr1443boost,etc)
- Accelerator Modules GPUs: Jetson Nano, Jetson Xavier NX, Jetson Orin Nano, Jetson Orin NX
- Supported FlightStacks: INAV(default), Betaflight, Pix-io, Ardupilot
- Autonomy (with payload): ~20 mins
The DART Drone has been design to support also indoor navigation, so no need to solve a knapsack problem with batteries, cables and laptops for your experiments "en plein air"!
K.A.R.R
"K.A.R.R" Development Platform
The rover K.A.R.R. was developed following the same guidelines used for DART. The research and development fields that can benefit from the use of this vehicle are similar to those of the DART drone, with the difference being that K.A.R.R. is a terrestrial vehicle. For this reason, it is an excellent candidate for Autonomous Driving applications.
The differences can be seen in terms of payload, which has far fewer limitations in terms of weight and volume. In terms of sensors, K.A.R.R.. can use LIDAR and multiple cameras. Regarding computing modules, K.A.R.R.. can be equipped with boards featuring heavier GPU accelerators, such as the NVIDIA Jetson Orin AGX.Specifications
- Weight [lb]: 13
- Dimension [standard scale]: 1/5
- Payloads: Multiple Sensors (es. Intel T265, Intel D457, Stereolabs Zed mini, Lidars, Awr1443boost, ecc)
- Acceleration Modules GPUs: Jetson Nano, Jetson Xavier NX, Jetson Orin Nano, Jetson Orin NX, Jetson Orin AGX, Jetson Xavier AGX
- Autonomy: ~2h