Zhao Zikai, Wu Qiuxuan, Wang Jian, Zhang Botao, Zhong Chaoliang, Zhilenkov Anton A
HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.
Institute of Electrical Engineering, School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Biomimetics (Basel). 2024 Apr 19;9(4):248. doi: 10.3390/biomimetics9040248.
Soft robotics is closely related to embodied intelligence in the joint exploration of the means to achieve more natural and effective robotic behaviors via physical forms and intelligent interactions. Embodied intelligence emphasizes that intelligence is affected by the synergy of the brain, body, and environment, focusing on the interaction between agents and the environment. Under this framework, the design and control strategies of soft robotics depend on their physical forms and material properties, as well as algorithms and data processing, which enable them to interact with the environment in a natural and adaptable manner. At present, embodied intelligence has comprehensively integrated related research results on the evolution, learning, perception, decision making in the field of intelligent algorithms, as well as on the behaviors and controls in the field of robotics. From this perspective, the relevant branches of the embodied intelligence in the context of soft robotics were studied, covering the computation of embodied morphology; the evolution of embodied AI; and the perception, control, and decision making of soft robotics. Moreover, on this basis, important research progress was summarized, and related scientific problems were discussed. This study can provide a reference for the research of embodied intelligence in the context of soft robotics.
软机器人技术在通过物理形式和智能交互实现更自然、有效的机器人行为的手段的联合探索中，与具身智能密切相关。具身智能强调智能受大脑、身体和环境协同作用的影响，关注智能体与环境之间的交互。在此框架下，软机器人技术的设计和控制策略取决于其物理形式和材料特性，以及算法和数据处理，这使其能够以自然且适应性强的方式与环境交互。目前，具身智能已全面整合了智能算法领域中关于进化、学习、感知、决策的相关研究成果，以及机器人技术领域中的行为和控制方面的研究成果。从这个角度出发，研究了软机器人技术背景下具身智能的相关分支，包括具身形态学的计算；具身人工智能的进化；以及软机器人技术的感知、控制和决策。此外，在此基础上总结了重要的研究进展，并讨论了相关科学问题。本研究可为软机器人技术背景下具身智能的研究提供参考。
