{"title":"Morphological Characteristics That Enable Stable and Efficient Walking in Hexapod Robot Driven by Reflex-based Intra-limb Coordination","authors":"Wataru Sato, J. Nishii, M. Hayashibe, D. Owaki","doi":"10.1109/ICRA48891.2023.10161107","DOIUrl":null,"url":null,"abstract":"Insects exhibit adaptive walking behavior in an unstructured environment, despite having only an extremely small number of neurons (105 to 106). This suggests that not only the brain nervous system but also properties of the physical body, such as the morphological characteristics, play an essential role in generating such adaptive behavior. Our study aims at investigating the effect of body morphological characteristics on the walking performance in a robot model, which is designed to mimic an insect. To this end, we constructed an insect-like hexapod model in a simulation environment that implements a reflex-based intra-limb coordination control. Herein, for a set of walking parameters, which were optimized to maximize the energy efficiency at the target speed, we investigated the effects of changes in the standard posture of the two leg joints on the walking success rate for various initial conditions and cost of transport (CoT) as an index of energy efficiency. Simulation results indicated that robots with specific morphological characteristics similar to those of insects exhibited high gait stability and energetic efficiency. Because only the reflex-based control was employed, the inter-leg coordination occurred spontaneously, suggesting that our approach would lead to a useful design methodology from the perspective of computational cost in generating the walking locomotion.","PeriodicalId":360533,"journal":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Robotics and Automation (ICRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRA48891.2023.10161107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Insects exhibit adaptive walking behavior in an unstructured environment, despite having only an extremely small number of neurons (105 to 106). This suggests that not only the brain nervous system but also properties of the physical body, such as the morphological characteristics, play an essential role in generating such adaptive behavior. Our study aims at investigating the effect of body morphological characteristics on the walking performance in a robot model, which is designed to mimic an insect. To this end, we constructed an insect-like hexapod model in a simulation environment that implements a reflex-based intra-limb coordination control. Herein, for a set of walking parameters, which were optimized to maximize the energy efficiency at the target speed, we investigated the effects of changes in the standard posture of the two leg joints on the walking success rate for various initial conditions and cost of transport (CoT) as an index of energy efficiency. Simulation results indicated that robots with specific morphological characteristics similar to those of insects exhibited high gait stability and energetic efficiency. Because only the reflex-based control was employed, the inter-leg coordination occurred spontaneously, suggesting that our approach would lead to a useful design methodology from the perspective of computational cost in generating the walking locomotion.
昆虫在非结构化环境中表现出适应性行走行为,尽管它们只有极少量的神经元(105到106)。这表明,不仅是脑神经系统,而且身体的特性,如形态特征,在产生这种适应行为中起着至关重要的作用。我们的研究旨在探讨身体形态特征对模仿昆虫的机器人模型行走性能的影响。为此,我们在仿真环境中构建了一个类昆虫六足动物模型,实现了基于反射的肢体内协调控制。本文针对一组优化后的步行参数,在目标速度下实现能量效率最大化,研究了不同初始条件下,两条腿关节标准姿势的变化对步行成功率的影响,以及作为能量效率指标的运输成本(cost of transport, CoT)。仿真结果表明,具有与昆虫相似的特定形态特征的机器人具有较高的步态稳定性和能量效率。由于只采用了基于反射的控制,腿间的协调是自发发生的,这表明我们的方法从产生步行运动的计算成本的角度出发,将导致一种有用的设计方法。