Antropo: An open-source platform to increase the anthropomorphism of the Franka Emika collaborative robot arm

PLoS One. 2023 Oct 18;18(10):e0292078. doi: 10.1371/journal.pone.0292078. eCollection 2023.

Abstract

Robot-to-human communication is important for mutual understanding during human-robot collaboration. Most of the current collaborative robots (cobots) are designed with low levels of anthropomorphism. Therefore, the ability of cobots to express human-like communication is limited. In this work, we present an open-source platform named Antropo to increase the level of anthropomorphism of Franka Emika-a widely used collaborative robot arm. The Antropo platform includes three modules: a camera module for expressing eye gaze, a light module for visual feedback, and a sound module for acoustic feedback. These modules can be rapidly prototyped through 3D printers, laser-cutters, and off-the-shelf components available at a low cost. The Antropo platform can be easily installed on the Franka Emika robot. The added communication channels can be synchronised with the robot's motions to enhance mutual understanding. All hardware CAD design files and software files are released. The platform can be used to study human-like behaviours of cobots and the effects of these behaviours on different aspects of human-robot collaboration. We demonstrate the Antropo platform in an assembly task in which the Franka Emika robot expresses various human-like communicative behaviours via the added communication channels. We also present two industrial applications in which the Antropo platform was customised for the Universal Robots UR16e.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustics
  • Communication
  • Equipment Design
  • Feedback, Sensory
  • Humans
  • Robotics*

Grants and funding

The work leading to these results has received funding from the European Union’s Horizon 2020 research and innovation program as part of the SOPHIA project under Grant Agreement No. 871237, the Flemish Government under the program "Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen", and the Horizon Europe Framework Programme as part of the euROBIN project under Grant Agreement No. 101070596. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.