Cyphal and DroneCAN Hardware for UAVs
Cyphal and DroneCAN Sensors and Actuators
The example of full DroneCAN sensing and actuation structure for UAVs
Cyphal and DroneCAN Nodes
Cyphal and DroneCAN PWM&Servo
Cyphal and DroneCAN GPS
Cyphal and DroneCAN Airspeed
Cyphal and DroneCAN Rangefinder
Cyphal and DroneCAN Programmer and Sniffer
Cyphal and DroneCAN PMU Board
DroneCAN WiFi Bridge Node
DroneCAN Internal Combustion Engine Node
Cyphal and DroneCAN sensors and actuators adapters compatible with PX4 and Ardupilot autopilots for hobbyist and business
What makes RaccoonLab Cyphal and DroneCAN electronics special:
  • For UAV developers from UAV developers
    We develop both UAVs and electronics and understand the needs of UAV developers
  • Verified by Flight Tests
    We test our devices in flight to be sure about their functionality and reliability
  • Four wires for all
    Connect all sensors and actuators on the CAN bus to your PX4/Ardupilot autopilot by a single connector
  • DC-DC adapter integrated
    No need to worry about the power supply
  • Ecosystem
    We commit to Dronecode open source ecosystem
  • In the trend
    We are a member of the Cyphal Consortium and stay on top of new trends
Tested on VTOL plane
Our new devices are tested on a small dark drone first.
And then we use it on the Innopolis Zylant VTOL plane.
Zylant is a platform for the development of an advanced autonomous control system, which includes reservation capabilities, scalability, obstacle avoidance technology, and automatic landing site selection.
It has a fully electric version and model with ICE main engine and two options of payload capacity and a wingspan of 2 and 4 meters.
Innopolis Zylant VTOL Plane
Innopolis Zylant VTOL Plane Based on our UAVCAN ecosystem
True HIL UAVCAN Simulation
Innopolis Simulator
UAVCAN Makes HITL Simulation Easier
We developed the Innopolis Dynamics HITL Simulator for autonomous vehicles based and Urban Air Mobility (UAM).
In our solution, all data from sensors and motors controls are sent via UAVCAN bus. So, instead of sensors and actuators, we could connect the computer with the simulator. We simulate UAVCAN messages directly, ideally, the autopilot may not even know that it works in the simulated environment.
Check it:
Guide: Specifications, manuals and firmware
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