3 to 4 November 2026, Svenska Mässan, Gothenburg
Logistics is changing quickly. Autonomous vehicles are moving from pilot projects into daily operations, and sites are asking more of them: indoors and outdoors, in all weather, and without extra infrastructure. That is why we are travelling to Gothenburg for Logistik & Transport, the Nordic region’s leading logistics trade fair and conference.
On 3 and 4 November, the fair brings together decision-makers, suppliers and experts from logistics and transport. With more than 130 exhibitors, a conference programme and free seminars on the Open Stage, it is a good place to see where the industry is heading.
Who you can meet
Jussi Suomela and Mark Niemi will be at the fair on both days. They are happy to meet new and old contacts, whether you want to catch up, talk about a project, or just ask a few questions about autonomy.
What we would like to talk about
GIM Robotics develops localisation and situational awareness software for intralogistics and mobile machinery. Our focus is on places where positioning and perception are hard, including areas where GNSS is weak or unavailable. If you are working on any of these topics, we would be glad to hear about it:
- Reliable 3D localisation for AGVs, AMRs and other mobile machines, indoors and outdoors. Read more
- Moving from 2D to 3D lidar as prices come down. Read more
- Getting from first sensor calibration to a working autonomous system. Read more
Let’s meet in Gothenburg
Would you like to talk to us? Contact us on LinkedIn: Jussi or Mark or send an email to mark.niemi(a)gimrobotics.fi
Admission to Logistik & Transport is free, and you can register on the fair’s website: https://en.logistik.to/
About GIM Robotics
GIM Robotics develops advanced robotics, autonomy, and intelligent machine solutions that help manufacturers and machine builders create smarter, safer, and more efficient autonomous work machines. Our technology combines robotics expertise, AI, machine perception, and systems integration to accelerate the deployment of intelligent mobile machines across demanding industrial environments.
