Enhanced Cognition for Adaptive Human-Robot Collaboration

IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–7

Abstract

Cyber-Physical Systems constitute one of the core concepts in Industry 4.0 aiming at realizing production systems that combine the efforts of human workers, robots, and intelligent entities. This is particularly crucial in Human-Robot Collaboration manufacturing where a tight peer-to-peer interaction between humans and intelligent autonomous robots is necessary. The work proposes the integration of novel Artificial Intelligence technologies to enhance the flexibility and adaptability of collaborative robots. The integrated functionalities allow a collaborative robot to autonomously recognize the tasks a human worker performs, and accordingly adapt its behavior. The approach is deployed on a real HRC scenario showing the functioning of the developed cognitive capabilities and the increased flexibility of resulting collaborations.

Authors 10

1. Alessandro Umbrico

   National Research Council · Institute of Cognitive Sciences and Technologies

   Affiliation as printed

   National Research Council,Institute of Cognitive Science and Technologies,Italy

   Institute of Cognitive Science and Technologies, National Research Council, Italy

2. Mikel Anasagasti
   Affiliation as printed

   GOIZPER Group,Spain

   GOIZPER Group, Spain

3. Stefan-Octavian Bezrucav Aachen Machine Dynamics and Robotics Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

   Machine Dynamics and Robotics,RWTH Aachen University, Institute of Mechanims Theory,Germany

   RWTH Aachen University, Institute of Mechanims Theory, Machine Dynamics and Robotics, Germany

4. Francesca Canale

   Stam (Italy)

   Affiliation as printed

   STAM,Italy

   STAM, Italy

5. Amedeo Cesta

   National Research Council · Institute of Cognitive Sciences and Technologies

   Affiliation as printed

   National Research Council,Institute of Cognitive Science and Technologies,Italy

   Institute of Cognitive Science and Technologies, National Research Council, Italy

6. Burkhard J. Corves Aachen Machine Dynamics and Robotics Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

   Machine Dynamics and Robotics,RWTH Aachen University, Institute of Mechanims Theory,Germany

   RWTH Aachen University, Institute of Mechanims Theory, Machine Dynamics and Robotics, Germany

7. Nils Mandischer Aachen Machine Dynamics and Robotics Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

   Machine Dynamics and Robotics,RWTH Aachen University, Institute of Mechanims Theory,Germany

   RWTH Aachen University, Institute of Mechanims Theory, Machine Dynamics and Robotics, Germany

8. Mikel Mondragon
   Affiliation as printed

   GOIZPER Group,Spain

   GOIZPER Group, Spain

9. Cristina Naso Rappis

   Stam (Italy)

   Affiliation as printed

   STAM,Italy

   STAM, Italy

10. Andrea Orlandini

    National Research Council · Institute of Cognitive Sciences and Technologies

    Affiliation as printed

    National Research Council,Institute of Cognitive Science and Technologies,Italy

    Institute of Cognitive Science and Technologies, National Research Council, Italy