Wang Luyao, Ma Lihua, Yang Jiajia, Wu Jinglong
Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China.
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Cyborg Bionic Syst. 2021 Jul 2;2021:9843259. doi: 10.34133/2021/9843259. eCollection 2021.
In the past few years, we have gained a better understanding of the information processing mechanism in the human brain, which has led to advances in artificial intelligence and humanoid robots. However, among the various sensory systems, studying the somatosensory system presents the greatest challenge. Here, we provide a comprehensive review of the human somatosensory system and its corresponding applications in artificial systems. Due to the uniqueness of the human hand in integrating receptor and actuator functions, we focused on the role of the somatosensory system in object recognition and action guidance. First, the low-threshold mechanoreceptors in the human skin and somatotopic organization principles along the ascending pathway, which are fundamental to artificial skin, were summarized. Second, we discuss high-level brain areas, which interacted with each other in the haptic object recognition. Based on this close-loop route, we used prosthetic upper limbs as an example to highlight the importance of somatosensory information. Finally, we present prospective research directions for human haptic perception, which could guide the development of artificial somatosensory systems.
在过去几年中,我们对人类大脑中的信息处理机制有了更深入的了解,这推动了人工智能和类人机器人的发展。然而,在各种感觉系统中,研究体感系统面临着最大的挑战。在此,我们对人类体感系统及其在人工系统中的相应应用进行了全面综述。由于人类手部在整合感受器和执行器功能方面的独特性,我们重点关注了体感系统在物体识别和动作引导中的作用。首先,总结了人类皮肤中的低阈值机械感受器以及沿上行通路的躯体定位组织原则,这些对于人工皮肤至关重要。其次,我们讨论了在触觉物体识别中相互作用的高级脑区。基于这条闭环路径,我们以假肢上肢为例,强调了体感信息的重要性。最后,我们提出了人类触觉感知的前瞻性研究方向,这可以指导人工体感系统的发展。