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KPIs for Purposeful Robots

A survey by the European project Pillar Robots.

This survey aims to explore the evaluation methods employed for assessing the performance of existing industrial robots and, additionally, to examine the criteria for evaluating future robots, particularly those incorporating open-ended learning capabilities.

There are 11 questions in this survey.
Participant informaiton
(This question is mandatory)
Please fill in the following fields.
(This question is mandatory)
What is your current affiliation or background?
(This question is mandatory)

Which of the following best describes your domain of expertise?

 

Main robotic activity
(This question is mandatory)
What is the robotic system/solution that is being developed in your group/company?
(This question is mandatory)
What is the purpose of your robotic systems (short answer)?
Relevant KPIs
(This question is mandatory)
Which Key Performance Indexes (KPIs) are relevant/important for your current applications?
1: Not important, 2: slightly important, 3: somewhat important, 4: important, 5: very important.
Productivity Improvement: Cycle Time Reduction
Productivity Improvement: Throughput Increase
Operational Efficiency: Utilization Rate
Operational Efficiency: Downtime
Quality Assurance: Error Rate
Quality Assurance: Defect Reduction
Cost Efficiency: Cost per Unit
Cost Efficiency: ROI (Return on Investment)
Safety: Incident Rate
Safety: Risk Mitigation
Flexibility and Adaptability: Changeover Time
Flexibility and Adaptability: Task Variety
Energy Efficiency: Power Consumption
Energy Efficiency: Environmental Impact
Human-Robot Collaboration: User Satisfaction
Human-Robot Collaboration: Collaborative Performance
Maintenance Metrics: Predictive Maintenance Accuracy
Maintenance Metrics: MTBF (Mean Time Between Failures)
Data Analytics: Data Collection and Analysis
Data Analytics: Data Accuracy
(This question is mandatory)
In which relevant KPIs in your domain do you expect improvement by endowing robots with life-long and autonomous learning?
1: Not important, 2: slightly important, 3: somewhat important, 4: important, 5: very important.
Productivity Improvement: Cycle Time Reduction
Productivity Improvement: Throughput Increase
Operational Efficiency: Utilization Rate
Operational Efficiency: Downtime
Quality Assurance: Error Rate
Quality Assurance: Defect Reduction
Cost Efficiency: Cost per Unit
Cost Efficiency: ROI (Return on Investment)
Safety: Incident Rate
Safety: Risk Mitigation
Flexibility and Adaptability: Changeover Time
Flexibility and Adaptability: Task Variety
Energy Efficiency: Power Consumption
Energy Efficiency: Environmental Impact
Human-Robot Collaboration: User Satisfaction
Human-Robot Collaboration: Collaborative Performance
Maintenance Metrics: Predictive Maintenance Accuracy
Maintenance Metrics: MTBF (Mean Time Between Failures)
Data Analytics: Data Collection and Analysis
Data Analytics: Data Accuracy
(This question is mandatory)

How would you quantify/measure the most relevant KPIs in the previous questions?

 

Choose one if there are several and please mention the name of the KPI.
Consent
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