Low-Code Programming of Spatial Contexts for Logistic Tasks in Mobile Robotics

  • Hobye, Mads (Project participant)
  • Rocha Silva, Thiago (Project participant)
  • Kramberger, Aljaz (Project participant)
  • Baun Kjærgaard, Mikkel (Project participant)
  • Ellekilde, Lars Peter (Project participant)

Project: Research

Project Details

Description

An unmet need in industry is flexibility and adaptability of manufacturing processes in low-volume production. Low-volume production represents a large share of the Danish manufacturing industry. Existing solutions for automating industrial logistics tasks include combinations of automated storage, conveyor belts, and mobile robots with special loading and unloading docks. However, these solutions require major investments and are not cost efficient for low-volume production.

Therefore, low-volume production is today labor intensive, as automation technology and software are not yet cost effective for such production scenarios where a machine can be operated by untrained personnel. The need for flexibility, ease of programming, and fast adaptability of manufacturing processes is recognized in both Europe and USA. EuRobotics highlights the need for systems that can be easily re-programmed without the use of skilled system configuration personnel. Furthermore, the American roadmap for robotics highlights adaptable and reconfigurable assembly and manipulation as an important capability for manufacturing.
Short titleLow-code
StatusActive
Effective start/end date01/09/2022 → …