The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Tactile sensing in dexterous robot hands — Review
Open accessAbstract
Tactile sensing is an essential element of autonomous dexterous robot hand manipulation. It provides information about forces of interaction and surface properties at points of contact between the robot fingers and the objects. Recent advancements in robot tactile sensing led to development of many computational techniques that exploit this important sensory channel. This paper reviews current state-of-the-art of manipulation and grasping applications that involve artificial sense of touch and discusses pros and cons of each technique. The main issues of artificial tactile sensing are addressed. General requirements of a tactile sensor are briefly discussed and the main transduction technologies are analyzed. Twenty eight various tactile sensors, each integrated into a robot hand, are classified in accordance with their transduction types and applications. Previously issued reviews are focused on hardware part of tactile sensors, whereas we present an overview of algorithms and tactile feedback-based control systems that exploit signals from the sensors. The applications of these algorithms include grasp stability estimation, tactile object recognition, tactile servoing and force control. Drawing from advancements in tactile sensing technology and taking into consideration its drawbacks, this paper outlines possible new directions of research in dexterous manipulation. We present a review of tactile sensing applications in dexterous robot hand manipulation.This problem is key to dexterous manipulation, and no update reviews are available.The main types of tactile sensors and their integration with robot hands are discussed.An overview of tactile data processing techniques and its applications is presented.
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Cited by
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Metadata
- Authors
- Kappassov, Z., Corrales, J.-A., & Perdereau, V.
- Venue
- Robotics and Autonomous Systems
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 74
- Pages
- 195-220
- ISSN
- 0921-8890 (ISSN-L)
- OpenAlex
- W971303027
- Cited by
- 782
- References
- 108
- FWCI
- 47.33
- Type
- journal article
- Language
- en
- Open access
- green
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