Proximity Perception in Human-centered Robotics: A Survey on Sensing Systems and Applications
Open accessAbstract
Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems in industry and everyday life, alongside humans, as well as in remote locations in space and underwater. In this survey article, we cover the developments of this field from the early days up to the present, with a focus on human-centered robotics. In this domain, proximity sensors are typically deployed in two scenarios: first, on the exterior of manipulator arms to support safety and interaction functionality, and second, on the inside of grippers or hands to support grasping and exploration. Therefore, based on this observation, in the beginning of this article, we propose a categorization to organize the use cases of proximity sensors in human-centered robotics. Then, we devote effort to present the sensing technologies and different measuring principles that have been developed over the years, also providing a summary in form of a table. Following, we review the literature regarding the applications that have been proposed. Finally, we give an overview of the most important trends that will shape the future of this domain.
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Low level fast reactive control has been explored for integration with robot manipulators in proximity perception and visual servoing.
“Low level fast reactive control has been explored for integration with robot manipulators in proximity perception (Mayton et al., 20102010; Navarro et al., 2021) as well as visual servoing (Espiau et al., 1992).”
From Lessons for Robotics From the Control Architecture of the Octopus (2022) · cites this paper as Navarro et al., 2021
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Flagged first, then by citations
Research works printed but not linked: 2
- [1][1] T. Zhou, M. Yang, K. Jiang, H. Wong, and D. Yang, 'MMW radarbased technologies in autonomous driving: A review,' Sensors , vol. 20, no. 24, p. 7283, 2020. -
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Cited by
Sorted by citations
Lessons for Robotics From the Control Architecture of the Octopus
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“Low level fast reactive control has been explored for integration with robot manipulators in proximity perception (Mayton et al., 20102010; Navarro et al., 2021) as well as visual servoing (Espiau et al.”
Self-citation
- Authors
- Navarro, S. E., Muhlbacher-Karrer, S., Alagi, H., Zangl, H., Koyama, K., Hein, B., Duriez, C., & Smith, J. R.
- Affiliations
- Centre Inria de l'Université de Lille (FR)
- JOANNEUM RESEARCH ROBOTICS, Institute for Robotics and Mechatronics, Klagenfurt, Austria
- Karlsruhe Institute of Technology (DE)
- University of Klagenfurt (AT)
- The University of Osaka (JP)
- Institute for Anthropomatics and Robotics - Intelligent Process Automation and Robotics Lab (IAR-IPR), Karlsruhe Institute of Technology, Karlsruhe, Germany
- Inria Lille—Nord Europe, Villeneuve d’Ascq, France
- University of Washington (US)
- ORCID
- Venue
- IEEE Transactions on Robotics
- Published
- 2022-06
- Volume
- 38
- Issue
- 3
- Pages
- 1599-1620
- ISSN
- 1552-3098 (ISSN-L)
- 1941-0468
- OpenAlex
- W3138748647
- Cited by
- 162
- References
- 145
- Citations by year
- 2026: 38 · 2025: 37 · 2024: 38 · 2023: 29 · 2022: 18 · 2021: 2
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Transactions on Robotics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, cc-by)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- arXiv (Cornell University) (cc-by)
- Funders
- Region Hauts-de-France (ANR-17-ERC2-0029)
- European Regional Development Fund (26616/30969/44253)
- Karntner Wirtschaftsforderungsfonds
- Bundesministerium für Bildung und Forschung (V5ARA114)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Computer Science › Computer Networks and Communications › Sensor Technology and Measurement Systems
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Keywords
- human-centered robotics, proximity sensors, human-robot interaction, robot safety, robot manipulators, robotic hand, grasping, sensor technology, human-robot collaboration
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