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Cesare Fantuzzi


Current position

(from 2006)  Full professor in industrial Automation and Control System.

(from 2012) Director of the Graduate and Master of Science programs in Mechatronics, University of Modena and Reggio Emilia.

(from 2001) Founder and Head of the Laboratory of Automation, Robotics and System Control (ARSControl laboratory) at University of Modena and Reggio Emilia.

(from 2012) Co-founder and Automation expert of the company “Logistics and Automation Consulting (LAC)”, a research spin-off of the University of Modena and Reggio Emilia.

Address (University): Via Amendola, 2 (Padiglione Morselli), I-42122, Reggio Emilia, RE, Italy

Phone: +39 0522 522 213

Fax: +39 0522 522 609

E-mail: cesare.fantuzzi@unimore.it

Web site: http://www.dismi.unimore.it/index.php?q=fantuzzi

Web site ARSControl: http://www.arscontrol.unimore.it

Address (LAC): Via Sicilia, 12, 42122, Reggio Emilia, RE, Italy

E-mail: cesare.fantuzzi@lac-consulting.eu

Web site: www.lac-consulting.eu

Specializations

Scientific area: ING-INF/04 AUTOMATICA (Automatics)

Keywords: Automation, Robotics, Cyber-physical Systems, Mechatronics, Predictive Maintenance, Industrial Research, Academic Education, University spin off.

Personal Summary

Cesare has over 25 years of experience in the area of industrial automation and robotics, with a solid scientific background certified by over 200 publications in leading conferences and journals in automation and robotics area. He is associate editor of “Mechatronics” Journal (Elsevier) and has a chair in the scientific committee of IEEE International Conference on Emerging Technologies and Factory Automation, IEEE International Conference on Automation Science and Engineering and Intellimech Consortium (http://www.intellimech.it/index.php/en/). He is in the scientific committee who wrote the Italian Research and Innovation Roadmap for the Smart Factory (The booklet is not yet public available, it will be published in September 2015.) (http://www.fabbricaintelligente.it/). He is the reference researcher for University of Modena and Reggio Emilia at EFFRA (European Factory of the Future Research Association). Cesare was in the board of experts who wrote the “Smart Specialisation Strategy” (http://ec.europa.eu/research/regions/index_en.cfm?pg=smart_specialisation) for Emilia-Romagna Region, Italy.

Cesare is the chief investigator of several industrial research projects in cooperation with large and medium size companies. These researches aim to the application of concepts and technologies of Industry 4.0 and Digital Factory (IoT, integrated design and simulation, vision systems, predictive maintenance, robot-human co-working, etc.) to the development of smart machine and devices to improve manufacturing processes. In the latter years, Cesare managed a total budget of privately funded researches of 500.000 Euro (in average) per year, coordinating a research staff of about 25 people in the ARSCOntrol laboratory (http://www.arscontrol.unimore.it) of University of Modena and Reggio Emilia.

He was the main coordinator of VII FP European project STRATOS (Open System for TRACTORS autonomous Operations, and the coordinator for University of Modena and Reggio Emilia of VII FP European projects UNIFARM (GNSS based Navigation User Forum on Innovation for Farmers) and PAN-ROBOTS (Plug and Navigate Mobile Robots for Smart Manufacturing Systems).

He is the coordinator for University of Modena and Reggio Emilia of Horizon 2020 European projects SYMPLEXITY (Symbiotic human-robot collaborations for safe and multimodal manufacturing systems) and IMPROVE (Innovative Modeling Approaches for Production Systems to raise validatable efficiency).

Curriculm Vitae

1 March 2013 - Current: Director of the Graduate and Master of Science programs in Mechatronics, University of Modena and Reggio Emilia.

Main activities and responsibilities: Organization and supervision of didactical activities and courses.

Name of the employer: Università di Modena e Reggio Emilia

Address of the employer:  Università 4, 41121 Modena, tel. 059 2056511

1 January 2010 – 28 February 2013: Director of the Doctoral School in Engineering of Industrial Innovation, Department of Engineering Sciences and Methods.

Main activities and responsibilities: Organization of scientific and educational activities of the Graduate School.

Name of the employer: Università di Modena e Reggio Emilia

Address of the employer:  Università 4, 41121 Modena, tel. 059 2056511

16 December 2006 – current: Full Professor at the Department of Engineering Sciences and Methods of Reggio Emilia for the Scientific Sector ING-INF/04 (Automatic), confirmed in the role December 16, 2009.

Type of relationship: Permanent

Role: Full Professor

Main activities and responsibilities: Organization of teaching and research in the fields of control systems and industrial automation. Coordination of the research group in Automation, Robotics and Control Systems (www.arscontrol.unimore.it).

Name of the employer: Università di Modena e Reggio Emilia

Address of the employer:  Università 4, 41121 Modena, tel. 059 2056511

15 January 2001 – 15 December 2006: Associate Professor at the Faculty of Engineering of Reggio Emilia for the Scientific Sector ING-INF/04 (Automatic).

Type of relationship: Permanent

Role: Associate Professor

Main activities and responsibility: Organization of teaching and research in the fields of control systems and industrial automation. Coordination of the research group in Automation, Robotics and Control Systems (www.arscontrol.unimore.it).

Name of the employer: Università di Modena e Reggio Emilia

Address of the employer:  Università 4, 41121 Modena, tel. 059 2056511

1 November 966   – 14 January 2001: Researcher at the Department of Engineering, the Group Disciplinary K04X (Automatic)

Type of relationship: Permanent

Role: Researcher

Main activities and responsibilities: Research in the areas of auto, industrial automation and systems. Contact the laboratory of Robotics and Automation, University of Ferrara.

Name of the employer: Università di Ferrara

Address of the employer: Via Savonarola, 36, 44100 Ferrara.

Education and Training

1 November 1991 – 30 October 1994: PhD in Systems Engineering, disciplinary group K04X, Automatic. The final dissertation with positive assessment was defended October 27, 1995. Title of thesis: "Methods of Analysis and Synthesis of Fuzzy Logic Controllers".

Type: PhD

Title of qualification awarded: Doctor of Philosophy in System Engineering

Rating / assessment obtained: Good

Name of organization providing education and training: Università di Bologna

Type of organization providing education and training: University

Principal subjects / occupational skills acquired: Ability to develop scientific research in autonomy. Knowledge of mathematics and fuzzy logic, knowledge of non-linear systems.

1 November 1984 – 5 December 1990: Master Degree in Electrical Engineering.

Type: Master Degree

Title of qualification awarded: Master Degree in Electrical Engineering.

Rating / assessment obtained: 98/100

Name of organization providing education and training: Università di Bologna

Type of organization providing education and training: University

Language Skills

Mother tongue: Italiano

Other language: English

Lecture skill: Excellent

Writing skill: Excellent

Listening skill: Excellent

Oral expression skill: Excellent

Scientific Activity

Topics: Mobile robotics, Industrial Automation, Prognostics, Fault Diagnosys, System Engineering.

Google Scholar score (12/06/2015): Papers: 259, Citations: 2398, Years: 26,  Cites/year: 92.23,  Cites/paper: 9.26/2.0/0 (mean/median/mode), Cites/author: 857.54, Cites/author/year: 32.98, Papers/author: 102.17, Authors/paper: 3.10/3.0/3 (mean/median/mode) h-index: 23 (67%), g-index: 43 (80%), e-index: 32.76, hc-index: 18, hI-index: 7.67, hI,norm: 13 hI,annual: 0.50, hm-index: 12.95, AW-index: 22.06, AWCR: 486.55, AWCRpA: 160.99, Hirsch a=4.53, m=0.88, Contemporary ac=6.01

Best papers (last three years):

1. G Barbieri, C Fantuzzi, R Borsari, A model-based design methodology for the development of mechatronic systems, 2014, Mechatronics, Elsevier,http://www.sciencedirect.com/science/article/pii/S0957415813002389

2. L Sabattini, C Secchi, C Fantuzzi, Hierarchical traffic control for partially decentralized coordination of multi agv systems in industrial environments, 2014, ICRA, http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6907764

3. M Bonfè, C Fantuzzi, C Secchi, Design patterns for model-based automation software design and implementation, 2013, Control Engineering Practice, Elsevier, http://www.sciencedirect.com/science/article/pii/S0967066112000810

4. E Gebennini, A Grassi, C Fantuzzi, S.B. Gershwin, Discrete time model for two-machine one-buffer transfer lines with restart policy, 2013, Annals of Operations Research Springer http://link.springer.com/article/10.1007/s10479-011-0868-5

5. C Secchi, L Sabattini, C Fantuzzi, Decentralized global connectivity maintenance for interconnected Lagrangian systems in the presence of data corruption, 2013, European Journal of Control, Elsevier, http://www.sciencedirect.com/science/article/pii/S0947358013001623

Patent

WO 2009083597 A1 Integrated packaging system architecture, Applicant: Tetra Laval Holdings & Finance, Inventors Claudio Donati, Lorenzo Tacconi, Cesare Fantuzzi, Stefano Faglioni. Publication date 9 Jul 2009

Selected Projects

Project identification: “Plug And Navigate ROBOTS for smart factories”

Type of initiative: European Project FP7 – ICT  314193

Project Abstract: PAN-ROBOTS objective is to develop, demonstrate and validate a generic automation system for factory logistics in modern factories based on advanced Automatic Guided Vehicles (AGV). PAN-ROBOTS consortium proposes a new generation of flexible, cost effective, safe and green AGVs in combination with advanced infrastructure systems. Those advanced AGVs will be able to transport material and products in modern factories based on autonomous on-board path planning and navigation to enable high flexibility. The perception system to guide the AGVs through the factory will be based on a novel cooperative approach. Advanced on-board sensors will be combined with infrastructure sensors to enhance the cost effectiveness and increase safety.

The fleet management will be intuitive and easy to use by workers without specialized training. In addition the installation time and costs will be dramatically reduced by semi-automated plant exploration supported by a localization approach utilizing already existing landmarks and an advanced pallet handling system which detects and picks the pallets autonomously. Finally, the developed generic system will be exemplarily validated in the production process of a bottling company and against the needs provided by the already established PAN-ROBOTS user group.

Cost of the project: 5.000.000 Euro

Name of administration owner of the project: Sick A.G. (Germany)

Type of the owner of the project: Private company

Project identification: DIRO’: Distretto Regionale della Robotica Mobile” (Regional District of Mobile Robotics)

Project Abstract: The project DIRO’ links leading companies manufacturing systems (Elettric 80, AGV, Emak, gardening machine) and component manufacturers (Zivan, products for electric vehicles, Motor Power Company, electric drives and mechatronic systems, Tellure Rota, production of wheels, ADEL System automation systems) with the laboratory INTERMECH MECTRON at University of Modena and Reggio Emilia. The main objective of the project DIRO’ is the development and experimental verification of innovative methodologies and technologies for the field of autonomous systems operations, also through the sharing of specific experiences of applicants assisted by the expertise of university research groups.

Cost of the project: 2.000.000 Euro

Name of the administration owner of the project: Elettric 80

Type of the owner of the project: Private company

Type of the owner of the project: Public body

Project identification: Project “Adaptive”

Type of initiative: Italian Technological Cluster on Smart Factory.

Project Abstract:

The  ADAPTIVE  project  aims  at  developing  technologies  and  solutions  to  enhance  the  ability  of modern factories to be flexible and efficient, appropriately responding to unpredictable changes in market requests. Modern industries and factories for the production and packaging of products have reached a high degree of automation.  Robotic  cells  for  the  support  of  CNC  (Computer  Numerical  Control) machines work side by side with fast automatic machine in modern manufacturing lines to achieve production  quality  and  speed  that  is  absolutely  necessary  to  play  a  leading  role  in  the  current competitive global market. However, very often robotic cells and automatic machineries are build having in mind production speed and efficiency, with main constraint the development cost.  Mechanical and control software parts are usually developed in monolithic manner for satisfying the target specification of the machine, with very little space for any modification or re-use of the parts and components. Therefore is usually difficult to adapt a robotic cell or an automatic machine in a production line to accommodate production changes request due, for example, the changes in market request. This difficult  is  mainly  due  to  a  lack  of  methodology  and  technology  that  enable  the  concepts  of adaptation and modular development of machines and robotic cells. The project aims to  the development of innovative devices and machines for supporting the as autonomous-as-possible  reconfiguration  and  adaptation  of  machinery  and  robots,  as  basis  for supporting  mass  customized  and  highly  personalized  products  and  fast  reactions  to  shifts  of market demands. To achieve this target, the project will address three main technical objectives:

Objective 1: Re-configurability and flexibility of robotic cells. The objective is to extend the scope of  industrial  robots  in  areas  of  strategic  importance  for  the  development  of  industry,  such  as finishing and  assembly  of  precision,  through the  creation  of  techniques  and  technologies for  an intelligent factory. In particular, the target is in the development of smart robotic cells with a high level of automation capable to process different products, in shape, dimension and material.

Objective 2:  Flexible, modular and adaptive manufacturing systems.  This  objective  aims  to  the development of next-generation production machines with improved automation for achieving a high  flexibility  and  re-configurability  of  the  whole  production  line.  The target is to achieve an automatic or semi-automatic reconfiguration of the production line to handle changes in product and/or working conditions in order to keep the level of the production quality unchanged.

Objective 3:  Human-machine adaptive and efficient interfaces.  Immersive  and  symbiotic collaboration  between  human  workers  and  robots  leads  to  a  more  efficient  and  flexible manufacturing  environment.  This  objective  aims  to  develop  innovative  way  to  make  easier  the cooperation  between  humans  and  robots,  allowing  new  paradigms  for  easy  programming  and, thus, enabling machines  and  robots full  flexibility from  the  user  point of  view.  Cognition -based intelligent features and prediction-based reactive control strategies within machinery and robots will  be  used  to  radically  change  their  interfacing  towards  human  workers  in  manufacturing environments.

Cost of the project: 10.000.000 Euro

Name of administration owner of the project: University of Modena and Reggio Emilia

Type of the owner of the project: Public Body

 

Publication