Editorial: Biology-Inspired Engineering and Engineering-Inspired Biology

Braun, Jan-Matthias; Manoonpong, Poramate; Xiong, Xiaofeng

doi:10.3389/fnbot.2020.614683

Front. Neurorobot.

2020

DOI: 10.3389/fnbot.2020.614683

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Editorial: Biology-Inspired Engineering and Engineering-Inspired Biology

Jan-Matthias Braun

Poramate Manoonpong

Xiaofeng Xiong

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2021

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“…-Engineering-inspired muscle intelligence: biological muscle control principles have been borrowed to enhance robot designs and control for many years. This research approach can be flipped, i.e., robots as tools for decoding muscle compliance in insect locomotion [157]. For instance, an insect-like robot was used to test a simplified muscle control hypothesis, i.e., proximodistal gradient [114].…”

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Insect-Inspired Robots: Bridging Biological and Artificial Systems

Manoonpong

Patané

Xiong

et al. 2021

Sensors

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This review article aims to address common research questions in hexapod robotics. How can we build intelligent autonomous hexapod robots that can exploit their biomechanics, morphology, and computational systems, to achieve autonomy, adaptability, and energy efficiency comparable to small living creatures, such as insects? Are insects good models for building such intelligent hexapod robots because they are the only animals with six legs? This review article is divided into three main sections to address these questions, as well as to assist roboticists in identifying relevant and future directions in the field of hexapod robotics over the next decade. After an introduction in section (1), the sections will respectively cover the following three key areas: (2) biomechanics focused on the design of smart legs; (3) locomotion control; and (4) high-level cognition control. These interconnected and interdependent areas are all crucial to improving the level of performance of hexapod robotics in terms of energy efficiency, terrain adaptability, autonomy, and operational range. We will also discuss how the next generation of bioroboticists will be able to transfer knowledge from biology to robotics and vice versa.

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confidence: 99%

Insect-Inspired Robots: Bridging Biological and Artificial Systems

Manoonpong

Patané

Xiong

et al. 2021

Sensors

Self Cite

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Editorial: Biology-Inspired Engineering and Engineering-Inspired Biology

Cited by 1 publication

References 12 publications

Insect-Inspired Robots: Bridging Biological and Artificial Systems

Insect-Inspired Robots: Bridging Biological and Artificial Systems

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