Supplementary Material for "Supervised Imitation Learning for Autonomous Robotic Manipulation: A Scoping Review of Demonstration Interfaces, Sensing Configurations, and Learning Architectures"

This dataset contains the complete, openly available supplementary material for the manuscript "Supervised Imitation Learning for Autonomous Robotic Manipulation: A Scoping Review of Demonstration Interfaces, Sensing Configurations, and Learning Architectures" (Caraballo Ibarra & Sanjuan De Caro, Department of Mechanical Engineering, Universidad del Norte, Barranquilla, Colombia). It provides the complete and traceable evidence trail supporting the review's PRISMA-ScR flow diagram, screening process, study-level data extraction, and application-oriented taxonomy. The repository documents the process from the 1,769 records retrieved from IEEE Xplore, Scopus, and Web of Science Core Collection, through deduplication and title/abstract screening, to the 232 reports sought for full-text retrieval, the 221 reports assessed for eligibility, and the 90 studies included in the final review. Files included: Records_Identified_from_IEEE.csv — raw IEEE Xplore database export (821 records) Records_Identified_from_Scopus.csv — raw Scopus database export (283 records) Records_Identified_from_WoS.xls — raw Web of Science Core Collection database export (665 records) Supervised_Imitation_Learning_for_Autonomous_Robotic_Manipulation_deduplication_and_abstract_screening_audit.xlsx — deduplication and title/abstract screening audit, documenting the progression from 1,769 retrieved records to 1,136 unique records and the screening decision and rationale for each record Supervised_Imitation_Learning_complete_full_text_screening_and_data_extraction.xlsx — full-text eligibility assessment of the 232 reports forwarded from title/abstract screening. Of these, 221 full texts were assessed and received a final Included or Excluded decision. The workbook also contains the complete study-level data extraction and classification for the 90 included studies, including application, demonstration interface, sensing configuration, learning architecture, hardware, and other extracted variables PRISMA-ScR_Checklist_OFFICIAL_for_Zenodo.docx — completed 22-item PRISMA-ScR checklist (Tricco et al., 2018, Annals of Internal Medicine 169:467-473) License: CC BY 4.0.