Project overview

The SCaFo Project explores robotics to improve food production through Autonomous Mobile Robots (AMRs) based on the TIAGo Base model. AMRs optimize food transportation in production plants, enhancing efficiency, reducing waste, improving product quality, and lowering costs. The project focuses on enabling robots to operate autonomously in dynamic, unstructured environments alongside humans.

16.6 M
project funding
38
partners involved
16
countries involved
SCaFo

Our Role

PAL Robotics will focus on designing specialized transportation structures as well as enhancing platform ergonomics and connectivity. The goal is to optimize navigation software for dynamic, unstructured environments, ensuring robots can seamlessly interact with human teams. Additionally, PAL will develop fleet management systems to enable coordinated robot operations in large-scale production settings, improving efficiency.

Key responsibilities

  • Enhance the TIAGo Base design for long-term operation in challenging conditions typical of the fresh food industry, such as low temperatures, high humidity, and slippery floors.
  • Develop a specialized transportation structure for TIAGo Base to improve its adaptability for moving processed food within production lines.
  • Optimize platform ergonomics and connectivity, alongside implementing visual task programming to streamline common food industry operations.
  • Refine navigation software to ensure reliable performance in dynamic, semi-structured environments with human workers.
  • Create a fleet management and task scheduling system to enable coordinated robot operations in large-scale environments like factory floors and warehouses.

Partners