Thanks for visiting Imaging and Machine Vision Europe.

You're trying to access an editorial feature that is only available to logged in, registered users of Imaging and Machine Vision Europe. Registering is completely free, so why not sign up with us?

By registering, as well as being able to browse all content on the site without further interruption, you'll also have the option to receive our magazine (multiple times a year) and our email newsletters.

Autonomous forklift for earthquake-damaged warehouses

Share this on social media:

VisLab, a laboratory at the University of Parma in Italy, along with project partners, has developed an autonomous forklift for companies in the Emilia Romagna region in Italy that have warehouses damaged by the earthquake in May.

The forklift uses seven cameras which send images to an external operator; the operator drives the forklift with a remote control until it approaches the pallets. The forklift is controlled remotely from outside the warehouse to removal usable material pallets from the safety of outside the building.

As further development, the group want to make the forklift totally autonomous so that, after gathering a complete map of the damaged warehouse, it could move and perform its tasks without any operator supervision.

The forklift has undergone several tests both in controlled and earthquake damaged environments – the latest ones in the city of Mirandola. The team at VisLab worked with TopCon (a multinational company with its Italian headquarters in the city of Concordia having become unfit for use after the earthquake), Elettric80 (producing warehouse automatic shifting shuttles) and FaberCom (producing remote controls and heavy duty machinery actuators).

Recent News

15 November 2019

A time-lapse 3D video of a zebrafish heart growing over a day has been captured for the first time by a new microscope imaging technique

26 September 2019

Rugby fans are now able to watch highlights from the Rugby World Cup, currently taking place in Japan, from angles and viewpoints not possible with conventional cameras, thanks to a multi-camera system from Canon

13 September 2019

A hyperspectral imaging system built by US research centre Battelle, using Headwall sensors, has been chosen as a finalist for the Department of Homeland Security’s Opioid Detection Challenge

23 July 2019

On the 50th anniversary of the Moon landing on 20 July 1969, Zeiss has described how, in less than nine months, it built the camera lens used to capture the iconic images during the Apollo 11 mission