Recent progress on tactile object recognition. (12th July 2017)

• Record Type: Journal Article
• Authors: Liu, Huaping; Wu, Yupei; Sun, Fuchun; Guo, Di
• Is Part Of: International journal of advanced robotic systems. Volume 14:Number 4(2017:Jul./Aug.)
• Publication Date: 2017-07-12
• Subjects: Tactile object recognition -- visual–tactile fusion -- machine learning; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881417717056
• Languages: English
• ISSNs: 1729-8806

Abstract

Conventional visual perception technology is subject to many restrictions, such as illumination, background clutter, and occlusion. Many intrinsic properties of objects, like stiffness, hardness, and internal state, cannot be effectively perceived by visual sensors. For robots, tactile perception is a key approach to obtain environmental and object information. Different from vision sensors, tactile sensors can directly measure some physical properties of objects and environment. At the same time, humans also utilize touch sensory receptors as an important means to perceive and interact with the environment. In this article, we present a detailed discussion on tactile object recognition problem. We divide the current studies on the tactile object recognition into three subcategories and detailed analysis has been put forward on them. In addition, we also discuss some advanced topics such as visual–tactile fusion, exploratory procedure, and data sets.