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How are reports generated in Robot Framework? 

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With extensive experimental evaluations, we show that the proposed framework significantly outperforms traditional methods of generating reports.
This general purpose framework provides an easy way to turn a general purpose robot into a special function one.
These results are valuable to design and control the robot.
Open accessProceedings ArticleDOI
05 May 2010
16 Citations
And third, the framework supports formal verification of the control application to aid the gait and task developer in identifying problems and bugs before the deployment and testing on the physical robot.
The experiments reveal how humans recognize the robot.
This is how we can use this robot in different fields as well as for research purpose by further manipulation in programming it can be modified accordingly.
Open accessJournal ArticleDOI
96 Citations
The findings show how the value-added by integrated reports could be improved.
In addition to understanding how graphical languages can support human–robot co-working, this study provides a basis for further collaborative research to explore human–robot co-working in more detail.

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What are the existing AI reporting frameworks in review research?3 answersExisting AI reporting frameworks in review research include the Standard Protocol Items: Recommendations for Interventional Trials-AI (study protocols), Consolidated Standards of Reporting Trials-AI (randomised controlled trials), Standards for Reporting of Diagnostic Accuracy Studies-AI (diagnostic accuracy studies), and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-AI (prediction model studies). Other guidelines such as the Checklist for Artificial Intelligence in Medical Imaging (CLAIM), minimum information (MI)-CLAIM, MI for Medical AI Reporting, and Developmental and Exploratory Clinical Investigation of Decision-AI also provide guidance for AI health interventions. However, economic evaluation of AI health interventions is not currently addressed by existing guidelines. Additionally, frameworks for the application and evaluation of AI in medicine should consider engagement in oversight and the translational stage of surveillance, as these areas are currently underrepresented in the existing frameworks.
What are the existing AI reporting frameworks in evidence synthesis?3 answersExisting AI reporting frameworks in evidence synthesis include the SPIRIT-AI and CONSORT-AI guidelines. These guidelines were developed by a multidisciplinary group of international experts to ensure complete and transparent reporting of clinical trial protocols and reports involving AI interventions. The SPIRIT-AI and CONSORT-AI guidelines provide the first international standards for clinical trials of AI systems. They aim to improve the quality of these clinical trials by addressing potential sources of bias specific to AI systems and promoting completeness and transparency of reporting. The extensions to the existing guidelines include new items that should be reported in addition to the core items, such as algorithm version and the procedure for acquiring input data. These frameworks are designed to help identify the safest and most effective AI interventions and enable confident decision-making for the benefit of patients and the public.
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