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Flexible AI-controlled picking robot with a higher degree of autonomy

Reference number
Coordinator Superintelligence Computing Systems SICSAI AB
Funding from Vinnova SEK 6 500 000
Project duration October 2023 - October 2025
Status Completed
Venture Advanced digitalization - Enabling technologies
Call Advanced and innovative digitalization 2023 - call two

Important results from the project

The project goal to develop and test the next generation AI-controlled industrial picking robot with a higher degree of autonomy and flexibility to increase the share of automatic picking in warehouse logistics was met. The project resulted in a commercial automation solution in operation at Nowaste Logistics. The solution has a higher flexibility than a traditional robot solution and a higher robustness than what today´s AI delivers with a proven ability to handle an unstructured environment.

Expected long term effects

In the longer term, our AI robot solution creates the conditions for the automation of warehouse logistics. 80% of all warehouses lack automation today. KUKA Robotics says warehouse logistics has the same potential for robotization as automotive. It is a first step in the development of physical AGI, an AI with the capacity to control all types of robots regardless of function and form, and which can automate complex tasks such as industrial assembly work.

Approach and implementation

The development was iterative and went from solving simpler problems to greater complexity, from simulation to testing in the physical world, from lab tests to customer tests in an industrial environment. Agile work with continuous delivery of improved functionality in a number of different work packages. The project was implemented according to plan with respect to time, activities and deliverables in the work packages and we achieved expected results within budget. Collaboration worked well.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 5 December 2025

Reference number 2023-01898