JOURNAL ARTICLE

Tactile sensing for surgical and collaborative robots and robotic grippers

Robert Bogue

Year: 2019 Journal:   Industrial Robot the international journal of robotics research and application Vol: 46 (1)Pages: 1-6   Publisher: Emerald Publishing Limited

Abstract

Purpose This paper aims to illustrate the increasingly important role played by tactile sensing in robotics by considering three specific fields of application. Design/methodology/approach Following a short introduction, this paper first provides details of tactile sensing principles, technologies, products and research. The following sections consider tactile sensing applications in robotic surgery, collaborative robots and robotic grippers. Finally, brief conclusions are drawn. Findings Tactile sensors are the topic of an extensive and technologically diverse research effort, with sensing skins attracting particular attention. Many products are now available commercially. New generations of surgical robots are emerging which use tactile sensing to provide haptic feedback, thereby eliminating the surgeon’s total reliance on visual control. Many collaborative robots use tactile and proximity sensing as key safety mechanisms and some use sensing skins. Some skins can detect both human proximity and physical contact. Sensing skins that can be retrofitted have been developed. Commercial tactile sensors have been incorporated into robotic grippers, notably anthropomorphic types, and allow the handling of delicate objects and those with varying shapes and sizes. Tactile sensing uses will inevitably increase because of the ever-growing numbers of robots interacting with humans. Originality/value This study provides a detailed account of the growing use of tactile sensing in robotics in three key areas of application.

Keywords:
Robot Tactile sensor Grippers Robotics Artificial intelligence Key (lock) Human–computer interaction Haptic technology Computer science Engineering Computer vision Simulation Mechanical engineering Computer security

Metrics

9
Cited By
0.32
FWCI (Field Weighted Citation Impact)
11
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Soft Robotics and Applications
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Augmented Reality Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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