Project number
23031
Organization
UA Department of Biosystems Engineering
Academic year
2022-2023
The Fourth Industrial Revolution is the idea that efficiency will be revolutionized by mass-data analytics fueling decisions made by AI. Large-area industries, such as agriculture, are racing to design a versatile drone capable of gathering this information. In this effort, ground based, hexapodal platforms have advantages over both flying drones and tracked/wheeled designs. These include the ability to mount heavier and more robust sensor packages, easy modification, longer loitering times, movement below and around foliage, and low impact on soil.
The AMS design uses off-the-shelf electronics, 3D printed parts and open-source software for simplicity, modularity and ease of modification. It includes a Raspberry Pi running the robot operating system, which has an abundant range of packages allowing for the easy integration of additional sensors, missions and parts. This current iteration uses lidar, or Light Detection and Ranging,=4ew31nd supersonic ranging devices, which provide robust obstacle detection and path planning. In addition, a GPS is used to define a roaming area for the robot, so this platform is ready to be adapted to large-area data gathering, especially within the agricultural sector.
The AMS design uses off-the-shelf electronics, 3D printed parts and open-source software for simplicity, modularity and ease of modification. It includes a Raspberry Pi running the robot operating system, which has an abundant range of packages allowing for the easy integration of additional sensors, missions and parts. This current iteration uses lidar, or Light Detection and Ranging,=4ew31nd supersonic ranging devices, which provide robust obstacle detection and path planning. In addition, a GPS is used to define a roaming area for the robot, so this platform is ready to be adapted to large-area data gathering, especially within the agricultural sector.