Collaborative Robotics: Application of Delphi Method
ABSTRACT In the domain of collaborative robotics, it is often needed to make complex multiparametric choices or assessments that combine heterogeneous criteria, such as task performance, reliability, safety, and ergonomics. The Delphi method, a process of arriving at group consensus by providing experts with rounds of questionnaires, as well as the group response before each subsequent round, can be applied to solve this type of problems. The following Delphi method efforts are addressed in our analysis with application to finding appropriate criteria and their relative weights for the evaluation of the teleoperation task of a robotic platform: (1) Contribution of experts; (2) estimates using student's distribution; and (3) decision making support using Fischer criterion. A consensus emerged among eight experts, who selected the criteria of duration, number of trajectory corrections, and feeling of the operator. Weights have been proposed for each criterion and statistical tools have been used to evaluate the consensus.
Authors
- E. Suhir
- Jean‐Marc Salotti (ORCID: https://orcid.org/0000-0001-7514-3338)
Institutions
- Portland State University (US)
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université de Bordeaux (FR)
- University of California, Los Angeles (US)
- Alto Neuroscience (United States) (US)
- Laboratoire de l'Intégration du Matériau au Système (FR)
- Institut Polytechnique de Bordeaux (FR)
Publication Details
- Journal
- Journal of Field Robotics
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1002/rob.22477
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.64