Results of the Survey: Failures in Robotics and Intelligent Systems

TL;DR

This survey report analyzes the types, origins, and debugging practices of failures in robotics and intelligent systems based on researcher responses, highlighting common issues and monitoring strategies.

Contribution

It provides a comprehensive overview of failure types and debugging approaches in robotics, based on the first large-scale survey of researchers in the field.

Findings

Identified common failure types in robotics systems

Highlighted prevalent debugging and monitoring practices

Revealed gaps in failure detection and prevention

Abstract

In January 2015 we distributed an online survey about failures in robotics and intelligent systems across robotics researchers. The aim of this survey was to find out which types of failures currently exist, what their origins are, and how systems are monitored and debugged - with a special focus on performance bugs. This report summarizes the findings of the survey.