‘Renu Robotic’ – LIDAR based fully autonomous, all-electric lawn mower.

Velodyne Lidar Inc. has signed a multi-year agreement to integrate its Puck lidar sensors into Renu Robotic’s all-electric robotic lawnmower.

The robot mower uses artificial intelligence and machine learning to autonomously command and control and to learn and assess the environment and operate independently.

Using a stored map of the area, the mower follows a pre-programmed path, with machine learning making corrections as needed.

Lidar — Light Detection and Ranging — is a remote sensing method used to examine the surface of the Earth. NOAA scientists use lidar-generated products to examine both natural and manmade environments.

Renu’s Generation 3.0 autonomous all-electric tractor—the RenuBot—has multiple innovative features that set the standard for autonomous vehicles in the vegetation management sector.

Recharge Pod is unique in how it charges and allows for updates and downloads. The Recharge Pod provides protection in all climates and can be equipped with up to nine individual converters for fast charging, allowing for 24/7 mowing schedules when multiple tractors are deployed.

It’s autonomous vehicle has incorporated a Mission Control Center that continuously monitors, controls and sends updates in the field, while allowing access on specific mobile screens to track performance.

The Renubot is equipped with Puck sensors.

Velodyne’s Puck lidar sensor (previously VLP-16) is the highest-value sensor on the market. The Puck™’s reliability, power efficiency, and surround view make it the ideal solution for affordable low-speed autonomy and driver assistance applications.

Velodyne Puck sensors provide rich 3D computer perception data that allows real-time localization, mapping, object detection, classification and tracking to support safe navigation and reliable operation. The Puck is a small, compact lidar sensor that delivers 100-meter range. Its reliability, power-efficiency and surround view make it an ideal solution for affordable low speed autonomy applications.