A Failure Mode and Effects Analysis (FMEA) risk assessment template for collaborative robot

Collaborative robots are advanced Industry 4.0 systems that have changed the role of humans in the operations system. Human-Robot Interaction (HRI) are a major safety concern. Robot integrators must conduct a risk assessment to demonstrate that collaborative tasks can be performed safely. International Organization for Standardization (ISO) 15066 proposes guidelines for implementing a cobot system and the related collaborative workspace. Different techniques have been proposed in the literature to conduct risk assessments for collaborative robots. However, there is still no practical, easy-to-use tool to assist practitioners in the early stages of risk assessment. Furthermore, the security of these systems is almost always focused on the technological aspects involved in the interaction in order to safeguard the operator, demonstrating a lack of consideration of other factors involved, such as psychosocial ones. This research work aims to build a preliminary Failure Mode and Effects Analysis (FMEA) risk assessment template containing the potential failure modes from which cobot integrators and practitioners can start to conduct the risk analysis of the collaborative robot system. The importance of considering more than only technological variables is highlighted by dividing the template into classes, each relating to a fundamental aspect of HRI.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Published
2026-06-30
DOI
https://doi.org/10.1177/1748006x261461714
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Failure Mode and Effects Analysis (FMEA) risk assessment template for collaborative robot

Shatrudhan Pandey, Teresa Murino, Mario Di Nardo
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Human-Automation Interaction and Safety
article

A Failure Mode and Effects Analysis (FMEA) risk assessment template for collaborative robot

Shatrudhan Pandey, Teresa Murino, Mario Di Nardo
article en

Abstract

Collaborative robots are advanced Industry 4.0 systems that have changed the role of humans in the operations system. Human-Robot Interaction (HRI) are a major safety concern. Robot integrators must conduct a risk assessment to demonstrate that collaborative tasks can be performed safely. International Organization for Standardization (ISO) 15066 proposes guidelines for implementing a cobot system and the related collaborative workspace. Different techniques have been proposed in the literature to conduct risk assessments for collaborative robots. However, there is still no practical, easy-to-use tool to assist practitioners in the early stages of risk assessment. Furthermore, the security of these systems is almost always focused on the technological aspects involved in the interaction in order to safeguard the operator, demonstrating a lack of consideration of other factors involved, such as psychosocial ones. This research work aims to build a preliminary Failure Mode and Effects Analysis (FMEA) risk assessment template containing the potential failure modes from which cobot integrators and practitioners can start to conduct the risk analysis of the collaborative robot system. The importance of considering more than only technological variables is highlighted by dividing the template into classes, each relating to a fundamental aspect of HRI.

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Marwadi University (IN), Federico II University Hospital (IT), Pegaso University (IT), University of Naples Federico II (IT)
Partnerships for the goals, Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.