Papers
51
Total Citations
3,009
H-Index
25
About
Barbara Caputo is a prominent researcher whose work bridges computer vision, robotics, and machine learning, with particular expertise in two transformative domains: visual place recognition for autonomous robots and myoelectric control of prosthetic hands. Her contributions to rehabilitation robotics have been especially influential — her 2014 dataset paper on electromyography for non-invasive prosthetic hand control has garnered over 930 citations, becoming a foundational resource for researchers developing naturalistic control systems for hand amputees. Alongside related work on stable myoelectric learning and grasp recognition, Caputo has helped define the methodological backbone of modern prosthetics research. In parallel, her sustained contributions to robot localization — including the widely used COLD localization database, multi-modal semantic place classification systems, and a comprehensive 2021 survey on deep visual place recognition — have shaped how autonomous robots understand and navigate their environments. Her early discriminative approaches to robust place recognition, dating back to 2006, anticipated many ideas now central to the field. With thousands of citations across her body of work and leadership in community-building initiatives like ImageCLEF, Caputo stands as a defining figure in applied machine learning for robotics and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Survey on Deep Visual Place Recognition184 citations · 2021
- 4Multi-modal Semantic Place Classification147 citations · 2009
- 5
- 6COLD: The CoSy Localization Database138 citations · 2009
- 7A Discriminative Approach to Robust Visual Place Recognition126 citations · 2006
- 8
- 9ImageCLEF 2014: Overview and Analysis of the Results101 citations · 2014
- 10Towards robust place recognition for robot localization82 citations · 2008