Project

The TrimBot2020 project will research the robotics and vision technologies to prototype the first outdoor garden trimming robot. The robot will navigate over varying terrain, approach rose bushes, hedges and boxwood topiary, to trim them to an ideal shape. The robot will be based on a modified Bosch Indego robot lawnmower, which will navigate using a user-defined garden map and 3D scene analysis, and then visually servo a novel electric plant cutter.

Prototype Trimbot

Prototype Trimbot

Achieving this will require a combination of robotics and 3D computer vision research and innovation activities. Original developments will be required for 3D sensing of semi-regular surfaces with physical texture (overgrown plant surfaces), coping with outdoor lighting variations, self-localising and navigating over real terrain and around obstacles, visual servoing to align the vehicle with potentially moving target plants, visual servoing to align leaf and branch cutters to a compliant surface, and innovative engineering to deliver all this on a small battery-powered consumer-grade vehicle. Development of these capabilities aligns closely with the Robotics Strategic Research Agenda and Multi-Annual Roadmap aspirations.

This project falls clearly in the consumer market domain. It will develop service robotics, advanced perceptual capabilities, mobile manipulation, and flexible and reactive autonomy. As a novel robotics application, the current TRL is 1/2, but the project aims to achieve TRL 5/6. Bosch expects to exploit the project’s results to extend its current automated lawnmower product.

This exciting project will extend generic robotics and computer vision technologies, explore a new robot application, has an explicit route to market exploitation by an experienced manufacturer, and has a great team with experienced plant roboticists and world-leading computer vision researchers, led by an experienced EC project coordinator.

Twitter
#TrimBot goes #offroad in the #garden @WUR #robotics #trimming https://t.co/U3TRyLt0kG5 days
The dataset for the #3drms challenge @ICCV2017 is available https://t.co/9vN2s5EZdA7 days
#DeMoN is the very first work that formulates joint egomotion and #depth #estimation as a pure #learning problem https://t.co/nDyV7cmuvA1 week
Download the dataset for the #3drms challenge #3dreconstruction https://t.co/6w9Fm9PTmX1 week
RT @PALRobotics: TIAGo knows how to work a crowd... https://t.co/vjOuJuVxJH #robots #robotics #robocup20171 week