Enhanced Cognition for Adaptive Human-Robot Collaboration

RWTH Publications (RWTH Aachen)

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 9

1. Alessandro Umbrico

   National Academies of Sciences, Engineering, and Medicine · National Research Council · Institute of Cognitive Sciences and Technologies

   Affiliation as printed

   Institute of Cognitive Science and Technologies, National Research Council

2. Mikel Anasagasti
   Affiliation as printed

   GOIZPER Group

3. Stefan-Octavian Bezrucav Aachen Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

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

4. Francesca Canale
   Affiliation as printed

   STAM

5. Amedeo Cesta

   National Academies of Sciences, Engineering, and Medicine · National Research Council · Institute of Cognitive Sciences and Technologies

   Affiliation as printed

   Institute of Cognitive Science and Technologies, National Research Council

6. Burkhard J. Corves Aachen Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

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

7. Nils Mandischer Aachen Institute of Mechanims Theory

   RWTH Aachen University

   Affiliation as printed

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

8. Mikel Mondragon
   Affiliation as printed

   GOIZPER Group

9. Andrea Orlandini

   National Academies of Sciences, Engineering, and Medicine · National Research Council · Institute of Cognitive Sciences and Technologies

   Affiliation as printed

   Institute of Cognitive Science and Technologies, National Research Council