Cicerone board
Move-X Cicerone board is a high-performance, low-power, Arduino MKR compatible DVK board based on Move-X MAMWLE LoRa module and u-blox MAX-M10S GNSS module. This combination allows best-in-class GNSS, long-range wireless connections and high-performance MCU processing in a low-power solution for extreme battery life.
Overview
Cicerone allows to build tracking applications around the world with meter-level accuracy and to communicate long-range, low-power data via LoRaWAN.
The integrated Li-Po charging circuit enables the board to manage battery charging through the USB port.
It is based on u-blox MAXM10S GNSS and Move-X MAMWLE modules. This combination allows for best-in-class synergy between GNSS technology and long-range wireless connectivity for power-constrained applications.
Applications
• Asset tracking
• Supply chain and logistics management
• Smart agriculture
• Smart cities
• Environment monitoring
• Infrastructure monitoring
For makers and engineers
• Quickly build complex IoT solutions in a small form factor thanks to the compatibility with Arduino IDE
• Expand the hardware with MKR shields
Documentation
Get Inspired
As robotics advance, the future could certainly involve humans and automated elements working together as a team. The question then becomes, how do you design such an interaction? A team of researchers from Purdue University attempt to provide a solution with their GhostAR system. The setup records human movements for playback later in augmented reality, while a robotic partner is programmed to work around a “ghost” avatar. This enables a user to plan out how to collaborate with the robot and work out kinks before actually performing a task. GhostAR's hardware includes an Oculus Rift headset and IR LED tracking, along with actual robots used in development. Simulation hardware consists of a six-axis Tinkerkit Braccio robot, as well as an Arduino-controlled omni-wheel base that can mount either a robot an arm or a camera as needed. More information on the project can be found in the team's research paper. With GhostX, whatever plan a user makes with the ghost form of the robot while wearing an augmented reality head mount is communicated to the real robot through a cloud connection – allowing both the user and robot to know what the other is doing as they perform a task.The system also allows the user plan a task directly in time and space and without any programming knowledge.First, the user acts out the human part of the task to be completed with a robot. The system then captures the human’s behavior and displays it to the user as an avatar ghost, representing the user’s presence in time and space.Using the human ghost as a time-space reference, the user programs the robot via its own ghost to match up with the human’s role. The user and robot then perform the task as their ghosts did.
