Mariorosario Prist

About

Mariorosario Prist is a researcher at the forefront of cyber-physical systems and collaborative robotics for Industry 4.0 and 5.0. His work centers on integrating digital twins, wireless sensor networks, and artificial intelligence to create smarter, more adaptive manufacturing environments. Prist’s most cited paper (17 citations) pioneers the modelling and co-simulation of an Automated Guided Vehicle (AGV) for smart factories, virtualizing the vehicle, its sensors, and a wireless network to enable precise localization without physical hardware. He also advanced accessible robotics education with a low-cost mobile platform (3 citations) designed to overcome sensor-reading delays common in commercial systems. More recently, Prist has explored ROS 2 to enhance perception and recognition in collaborative robots (2 citations), enabling them to self-adapt to dynamic human interactions. His forward-looking work on integrating Large Language Models into robotics for automated disassembly of zipped apparel (2025) addresses the economic sustainability of circular economy value chains. Through these contributions, Prist is helping shape the next generation of flexible, human-aware, and sustainable robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Preliminary Study of a Cyber Physical System for Industry 4.0: Modelling and Co-Simulation of an AGV for Smart Factories

   17 citations · 2018
2. 2
   A low cost mobile platform for educational robotic applications

   3 citations · 2014
3. 3
   ROS 2 for enhancing perception and recognition in collaborative robots performing flexible tasks

   2 citations · 2023
4. 4
   Integrating LLMs into Collaborative Robotics for Automated Zipped Apparel Disassembly

   1 citations · 2025

Key Collaborators

Contact & Links