Automation, including robotics, has a huge potential to improve operations in the fast-paced and dynamic food production industry. When developed and deployed correctly, automation can help a business operate better and faster than it would if it relied solely on human workers. Focusing on the food processing industry, time often matters, and more efficient operations can improve quality, limit waste, and increase company profits by lowering operational costs. Automation does not mean that a company could – or should – replace their workforce. Instead, modern automation systems and machines can work alongside human laborers, helping them create more efficient processes and workflows.
The main objective of this project proposal is to facilitate the introduction of a fleet of AMRs based on developments to the established TIAGo Base robot model to perform food transportation tasks in the unstructured and dynamic environment of the food processing industry. The solution we propose, thanks both to our experience in previous research projects and our expertise with robotic solutions, including those for industry, tackles all the relevant key abilities needed by service robots in the market today for semi- or full autonomy in an environment collaborating together with f human workers.
agROBOfood builds the European ecosystem for the effective adoption of robotics technologies in the European agri-food sector and accelerates the digital transformation to make the European agri-food sector more efficient and competitive.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 825395.
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