Recent progress on tactile object recognition

Huaping Liu, Yupei Wu, Fuchun Sun, Di Guo

International Journal of Advanced Robotic Systems · 2017 · 75 citations · 43 references

DOIFull text

Open access

Concepts

TL;DR

Conventional visual perception is limited by illumination, clutter, and occlusion and cannot sense intrinsic properties such as stiffness or hardness, making tactile perception essential for robots and humans to obtain environmental and object information. This article presents a detailed discussion of the tactile object recognition problem. The authors categorize current tactile object recognition studies into three subcategories, analyze them, and also cover advanced topics such as visual–tactile fusion, exploratory procedures, and datasets.

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.

References

43