IEEE Trans Cybern. 2022 Oct;52(10):11267-11280. doi: 10.1109/TCYB.2021.3071312. Epub 2022 Sep 19.
Current robotic studies are focused on the performance of specific tasks. However, such tasks cannot be generalized, and some special tasks, such as compliant and precise manipulation, fast and flexible response, and deep collaboration between humans and robots, cannot be realized. Brain-inspired intelligent robots imitate humans and animals, from inner mechanisms to external structures, through an integration of visual cognition, decision making, motion control, and musculoskeletal systems. This kind of robot is more likely to realize the functions that current robots cannot realize and become human friends. With the focus on the development of brain-inspired intelligent robots, this article reviews cutting-edge research in the areas of brain-inspired visual cognition, decision making, musculoskeletal robots, motion control, and their integration. It aims to provide greater insight into brain-inspired intelligent robots and attracts more attention to this field from the global research community.
目前的机器人研究侧重于特定任务的性能。然而，此类任务无法被泛化，并且一些特殊任务，例如顺应性和精确操作、快速灵活的响应以及人机之间的深度协作，无法被实现。受大脑启发的智能机器人通过视觉认知、决策、运动控制和肌肉骨骼系统的集成，从内在机制到外在结构，模仿人类和动物。这种机器人更有可能实现当前机器人无法实现的功能，并成为人类的朋友。随着对受大脑启发的智能机器人的开发重点的转移，本文回顾了受大脑启发的视觉认知、决策、肌肉骨骼机器人、运动控制及其集成方面的最新研究进展。本文旨在为受大脑启发的智能机器人提供更深入的了解，并吸引全球研究界对该领域的更多关注。
