Breakthrough Research Award
Vagner Graeff-Filho - Federal University of Pelotas
The Breakthrough Research Award recognizes scholarly contributions associated with emerging innovations in robotics, sensing technologies, and intelligent automation systems. Vagner Graeff-Filho, affiliated with the Federal University of Pelotas in Brazil, has contributed to research activities related to 3D Vision and Sensing, an interdisciplinary field that supports robotic perception, autonomous systems, and machine-environment interaction.[1] His academic profile reflects participation in engineering and sensing-oriented research relevant to robotics and computational vision applications.[2]
Abstract
This article presents an academic recognition profile of Vagner Graeff-Filho in relation to the Breakthrough Research Award associated with the International Robotics and Automation Awards. The profile examines scholarly productivity, citation indicators, and thematic research alignment in the area of 3D Vision and Sensing. The evaluation is based on publicly available academic information, indexed publications, institutional affiliation data, and engineering-oriented research contributions related to robotic perception and sensing systems.[1][3]
Keywords
3D Vision and Sensing; Robotic Perception; Computer Vision; Intelligent Sensing; Robotics Engineering; Autonomous Systems; Sensor Technologies; Machine Vision; Automation Research; Intelligent Robotics
Introduction
Three-dimensional vision and sensing technologies are essential components of modern robotics and automation systems. These technologies support environmental mapping, object recognition, autonomous navigation, and intelligent robotic interaction through the integration of sensors, computational imaging, and machine perception methodologies.[4]
Research within the field of 3D Vision and Sensing contributes to developments in industrial robotics, autonomous vehicles, medical imaging systems, and intelligent automation infrastructures. Vagner Graeff-Filho has participated in scholarly work associated with these technological domains, contributing to research visibility within engineering and sensing-oriented academic communities.[1]
Research Profile
Vagner Graeff-Filho is affiliated with the Federal University of Pelotas, Brazil. Publicly indexed academic records indicate a research profile consisting of 2 indexed documents, 3 citations, and an h-index of 1. These metrics reflect early-stage scholarly visibility and participation in robotics-related engineering research.[1]
The subject specialization associated with his profile includes 3D Vision and Sensing technologies relevant to robotic systems and computational imaging applications. Research in this field commonly integrates computer vision algorithms, sensor fusion methodologies, and intelligent environmental perception systems.[5]
Research Contributions
The research contributions associated with Vagner Graeff-Filho involve engineering approaches related to sensing systems, machine perception, and robotics-oriented computational technologies. Such contributions are relevant to robotics applications requiring environmental awareness, object tracking, and real-time sensor integration.
3D sensing technologies support numerous robotics applications including industrial automation, navigation systems, robotic manipulation, and autonomous environmental analysis. The integration of vision systems with intelligent robotics continues to influence developments in advanced automation and human-machine interaction frameworks.
Publications
The publication profile of Vagner Graeff-Filho includes indexed scholarly contributions associated with sensing systems, computational perception, and robotics-oriented engineering technologies. These publications contribute to the broader literature associated with intelligent robotics and machine vision systems.[1]
- Research studies related to machine perception and intelligent sensing technologies.
- Engineering contributions involving robotics-oriented computational imaging systems.
- Conference and technical publications associated with 3D sensing and autonomous robotic applications.
The available citation metrics indicate emerging scholarly engagement and foundational academic participation within robotics and sensing-related engineering communities.
Research Impact
Research impact within engineering and robotics disciplines is frequently evaluated through indexed publication output, citation activity, and interdisciplinary relevance. Citation indicators associated with Vagner Graeff-Filho demonstrate initial scholarly visibility in the area of robotics sensing and perception technologies.
Although the publication record is relatively concise, research contributions in emerging technical fields such as 3D Vision and Sensing remain important for advancing robotic autonomy, machine interpretation systems, and intelligent automation capabilities.
Award Suitability
Vagner Graeff-Filho demonstrates thematic suitability for the Breakthrough Research Award through research engagement in 3D Vision and Sensing technologies relevant to robotics and automation systems. The subject specialization aligns with the objectives of the International Robotics and Automation Awards, which recognize innovation and scholarly advancement in robotics engineering and intelligent systems research.[3]
Research activities involving robotic sensing, machine vision, and intelligent perception technologies continue to play a critical role in the advancement of autonomous systems and modern automation infrastructures. Contributions in these areas support ongoing interdisciplinary development within robotics engineering and computational sensing domains.[5]
Conclusion
The academic profile of Vagner Graeff-Filho reflects engagement with research themes related to 3D Vision and Sensing and robotics-oriented engineering technologies. His indexed publications, institutional affiliation, and contributions to intelligent sensing research collectively support recognition within emerging robotics and automation scholarship. The Breakthrough Research Award profile acknowledges these contributions within the broader context of robotic perception and intelligent systems research.[1][3]
External Links
References
- Elsevier. (n.d.). Scopus author details: Vagner Graeff-Filho, Author ID 60139975000. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60139975000
- ORCID. (n.d.). ORCID profile of Vagner Graeff-Filho.
https://orcid.org/0000-0001-9782-9541
- Vagner Luiz Graeff-Filho., Luiz Ernesto Costa-Schmidt. (2026). Behavioral disruption in honey bees (Apis mellifera) exposed to isolated and combined insecticides.
DOI: https://link.springer.com/article/10.1007/s10646-026-03095-8
- Vagner Luiz Graeff-Filho., Luiz Ernesto Costa-Schmidt. (2025). Honey bee (Apis mellifera) cognition under exposure to field-relevant doses of Deltamethrin and Imidacloprid: isolated and combined effects.
DOI: https://link.springer.com/article/10.1007/s13592-025-01221-9
- Vagner Luiz Graeff-Filho. (2020)."Insetos, E Daí?”: Ressignificando ss Dimensões Da Extensão Universitária Com a Pandemia Da Covid-19.
DOI: https://periodicos.ufpel.edu.br/index.php/expressaextensao/article/view/19711