Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures

Saito, Takumi; Nishimura, Haruki; Oka, Mutsuo

doi:10.1109/ssci51031.2022.10022282

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…This study also demonstrated the Baldwin effect for the first time, which suggests that behaviors learned by individuals in the early stages of evolution may gradually become instinctive and even be passed on to offspring. Similarly, Saito, Takumi et al [43] confirmed the influence of body movements on the evolution of body shape using two-dimensional soft robots. They found that body morphology significantly affects the learning of movement, which is consistent with the theory of embodied intelligence.…”

Section: Embodied Artificial Evolutionmentioning

confidence: 83%

Exploring Embodied Intelligence in Soft Robotics: A Review

Zhao,

Wu,

Wang

et al. 2024

Biomimetics

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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.

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Section: Embodied Artificial Evolutionmentioning

confidence: 83%