Tactile and Vision Perception for Intelligent Humanoids
Shuo Gao, Yanning Dai, Arokia Nathan
Abstract
Touch and vision perception are two important functions humans use to interact with the real world. To mimic human‐like abilities, tactile‐ and visual‐sensing‐based intelligent humanoids have emerged and are going through a fast phase of development. Studies have demonstrated that the combination of tactile and visual information not only enables humanoids to better learn the environment, but also allows them to have pseudocognitive ability. Being a new and rapidly developing field of research, a significant growth in articles reporting different aspects of sensing and related machine learning is being witnessed. To help readers comprehensively understand the fundamentals and insights, and the current state of the art, this review is compiled to explain the working mechanisms of tactile and visual sensing, introduce the application of intelligent humanoids in diverse scenarios, discuss current challenges, and predict future trends.