Reconfigurable and logistics robotics

Reconfigurable and logistics robotics 

The factory of the future should be modular, flexible, and automated. The future manufacturing landscape will bring new challenges with increased customization, shorter product life cycle, novel and hybrid materials, and rapid manufacture of near net parts and high levels of product performance at low costs. This environment will address important research issues on self-optimizing, self-reconfiguring, self-healing and self-monitoring processes capable to communicate and cooperate to respond quickly, by adjusting their schedules to match the evolving execution circumstances, in a way that continues to maximize the quality of their joint activities.

SMART-E research projects in this work package are:

  • Cognitive multi-agent systems framework for swarm robotics
    Fellow: Stefania Russo
    Host: University of Salford, Lead supervisor: Prof. Samia Nefti-Meziani
  • Dynamic control architecture
    Fellow: Alexandre Bousaid
    Host: AGCO/Fendt;Lead supervisor: Dr. Benno Pichlmaier
  • Real-time monitoring of ‘swarm cells’
    Fellow: Mateo Leco
    Host: AMRC, University of Sheffield, Lead supervisor: Dr. Sam Turner
  • Mathematical model for self-healing robot cell
    Fellow: Roy Assaf
    Host: University of Salford, Lead supervisor: Prof. Phil Scarf