IEEE CASE Workshop on

Smart Robotic Systems for Advanced Manufacturing Industries: Planning, Interaction And Collaboration With Humans

The workshop

This workshop, entitled 'Smart Robotic Systems for Advanced Manufacturing Industries: Planning, Interaction And Collaboration With Humans', is a full-day workshop that will take place during the IEEE CASE'2021 conference, held in Lyon, France on August 23-27, 2021.


  • Date of workshop: 23 August 2021 (9 am to 6:30 pm).


The workshop is mostly a face-to-face events, however regarding the situation of some countries and difficulties to travel, the event is hybrid including some talks and participation in a remote way. The event is a fully live event and includes panel discussions, round tables and Q&A session.


This workshop is within activities of and supported by IEEE RAS technical committee:

Abstract

To achieve advanced processes involved in smart manufacturing, robots should be able to cooperate autonomously with human operators at different degrees of interaction.

Some cooperation tasks require the robots to have a high degree of autonomy, which needs: a) perception and reasoning capabilities (to perceive and understand the current state of the environment and to reason on the result of the actions); b) adaptive and dynamic task and motion planning capabilities (to adapt geometric solutions to the actual state of the environment, to allow failure identification and recovery strategies, to robustly cope with non-deterministic actions) and c) robust grasping and manipulation capabilities (to cope with uncertainty in semi-structured human environments). Robots, and more generally smart systems, may not be able to undertake complex tasks fully autonomously, i.e. they should be able to assist human operators whenever the task is difficult or dangerous, while also using the cognitive capacities of the human operators. In this line, the workshop will address the challenges and latest achievements related to interaction and collaboration between humans and robots or smart systems. This may include task planning and motion planning (considered separately or preferably jointly), interactive and/or immersive advanced simulation, human operators in an effective collaboration with robots and smart systems. In all cases, authority sharing between humans and robots or systems, and intention detection are key challenges to be addressed. The planning and interaction features of smart robotic systems for the effective collaboration with humans may be enhanced by using knowledge. In this sense, the formal representation of knowledge using ontologies provides robots with reasoning capabilities, which can be exploited to make them adaptable to the actual situations encountered and, therefore, make them able to interact with humans at different collaboration levels. Ontologies for perception, world modeling, planning or navigation can make robots, smart systems or simulation tools context- and self-aware, and allow them to act in a smart way, and this is to be explored here in the framework of manufacturing systems. Eventually, ontologies may supply robots, smart systems or simulation tools with trade- or task-oriented information and reasoning capabilities, for a more relevant use in a given industrial context and more generally in the industry 4.0 context.

Motivation and objectives

In the automation of manufacturing industries, collaborative robotic systems have been playing a significant role, making automation adaptive and allowing human-robot cooperation and interaction. This is further boosted by cyber-physical production systems and industry 4.0 frameworks, that facilitate robot-robot, human-robot or human-systems communications. Moreover, machine learning and artificial intelligence tools, together with cognitive automation approaches, data driven industrial processes and digital twins might make robotic systems smarter for the new generation of advanced manufacturing systems. With this perspective, different scientific and technological key issues, tackled by the scientific community for smart manufacturing, will be addressed here. The objective of this workshop is to share expertise and overview scientific issues, current techniques and achievements in the domains of interaction and collaboration between humans and robots or smart systems. This workshop addresses some key aspects of industry 4.0 and smart manufacturing, such as digital, smart, human-centered and even sustainable manufacturing.

List of topics

This workshop topics include, but are not limited to:

  • Human-in-the-loop processes,

  • human-robot / robot-robot collaboration;

  • Human-machine interactions

  • Adaptive task/motion planning

  • Ontologies-based modeling and reasoning

  • Dexterous grasping / manipulation

  • Smart manufacturing applications

To attend the workshop

  • The IEEE CASE 2021 conference is mostly a physical event as the workshop. Most workshop talks will be given in face-to-face mode, where few other talks will given remotely in a live mode.

  • The participation to the workshop requires a registration. The registration may be for the only workshop (without the conference). The participant registered for IEEE CASE conference may participate to the workshop for free. Please check the registration page and the registration fees on the conference website for more information.

  • The participation of attendees may be in-person (physically). In the case, to attend the workshop, you should join Centre des Congrès of Lyon (France). For more information, please check the conference website about HOW TO COME. Participation of attendees may be virtual as well. The information may be communicated by the conference organizers after registration.

Organizers

Dr Philippe FILLATREAU,

Associate Professor, National School of Engineering in Tarbes (ENIT)

MAVRICS research group (Methodologies for the Design and the Automatic control of Mechatronic and Robotic Systems for Interaction)

Laboratoire Génie de Production (LGP),

INP-ENIT, University of Toulouse (France)


E-mail: philippe.fillatreau@enit.fr

Phone: +33 – 562 445 080

Dr Mourad BENOUSSAAD,

Associate Professor, National School of Engineering in Tarbes (ENIT)

MAVRICS research group (Methodologies for the Design and the Automatic control of Mechatronic and Robotic Systems for Interaction)

Laboratoire Génie de Production (LGP),

INP-ENIT, University of Toulouse (France)


Email: mourad.benoussaad@enit.fr

Homepage: https://sites.google.com/view/mourad-benoussaad/

Dr Jan ROSELL,

Associate Professor,

Institute of Industrial and Control Engineering

Universitat Politècnica de Catalunya (SPAIN)


E-mail: jan.rosell@upc.edu

Phone: +34 – 934 017 162

Dr Neil DANTAM,

Assistant Professor,

Department of Computer Science

Colorado School of Mines

Golden, CO (USA)


E-mail: ndantam@mines.edu

Phone: +1-765-602-3556

Speakers

  1. Michael Beetz, Institute for Artificial Intelligence (IAI) - University of Bremen, Bremen, Germany. beetz@cs.uni-bremen.de

  2. Stefano Borgo, Laboratory for Applied Ontology (LOA) - Institute for Cognitive Sciences and Technologies (ISTC), Trento, Italy. stefano.borgo@cnr.it

  3. Jean Bosco, Dedan Kimathi Univ. of Technology, Dept Mechatronic Engineering, Director of DeKUT SIEMENS Mechatronics Certification Centre, Kenya. jean.bosco@dkut.ac.k

  4. Neil Dantam, Colorado School of Mines, Golden, CO, USA, ndantam@mines.edu

  5. Esra Erdem, Sabanci University, Faculty of Engineering and Natural Sciences - Istanbul, Turkey. esra.erdem@sabanciuniv.edu

  6. Philippe Fillatreau and Mourad Benoussaad, LGP-ENIT, University of Toulouse, Tarbes, France, mourad.benoussaad@enit.fr; philippe.fillatreau@enit.fr

  7. Ali Kanso, ZeMA - Zentrum für Mechatronik und Automatisierungstechnik gemeinnützige GmbH, Saarbrücken, Germany. a.kanso@zema.de

  8. Véronique Perdereau, Sorbonne University, Institut des Systèmes Intelligents et de Robotique, Paris, France. veronique.perdereau@upmc.fr

  9. Thibaud Raharijaona, ENIM, University of Lorraine, Metz, France. thibaut.raharijaona@univ-lorraine.fr

  10. Jan Rosell and Mohamed Diab, Institute of Industrial an Control Engineering (IOC) - Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, jan.rosell@upc.edu; Department of Electrical and Electronic Engineering, Imperial College London, UK, mohammed.diab@upc.edu

Intended audience

This workshop is intended for researchers and practitioners interested in interaction and collaboration between humans and robots or systems for smart manufacturing in the industry 4.0 context.

The three main target audiences for the workshop are: (1) members actively researching new methods, future trends and open questions in smart manufacturing, (2) practitioners developing innovative solutions and (3) people who are interested in learning about the current state-of-the-art in order to incorporate these methods into their own projects. We also strongly encourage the participation of graduate students.

Program

The workshop includes invited presentations and submitted posters, with ample interaction time. The provisional program is as follows:

Morning


09:00-09:15: Introduction / opening remarks


Session 1: Reasoning

09:15 - 09:45: J. ROSELL / M. DIAB

09:45 - 10:15: S. BORGO

10:15 - 10 :30: Discussion

10:30 - 10:45: coffee break


Session 2: Interaction

10:45 - 11 :15: E. ERDEM

11:15 - 11:45: V. PERDEREAU

11:45 - 12:15: M. BENOUSSAAD

12:15 - 12:30: Discussion

12:30 - 14:00: Group Lunch

Afternoon


Session 3: Applications

14:00 - 14:30 J. BOSCO

14:30 - 15:00: A. KANSO

15:00 - 15:30: T. RAHARIJAONA

15:30 - 15:45: Discussion

15:45 - 16:00: coffee break



Session 4: Planning

16:00 - 16:30: P. FILLATREAU

16:30 - 17:00: N. DANTAM

17:00 - 17:30: M. BEETZ

17:30 - 17:45: Discussion



17:45 - 18:30: Final panel discussion, conclusions and perspectives


WS3new.pdf