Literature DB >> 29599417

Robotics-inspired biology.

Nick Gravish1, George V Lauder2.   

Abstract

For centuries, designers and engineers have looked to biology for inspiration. Biologically inspired robots are just one example of the application of knowledge of the natural world to engineering problems. However, recent work by biologists and interdisciplinary teams have flipped this approach, using robots and physical models to set the course for experiments on biological systems and to generate new hypotheses for biological research. We call this approach robotics-inspired biology; it involves performing experiments on robotic systems aimed at the discovery of new biological phenomena or generation of new hypotheses about how organisms function that can then be tested on living organisms. This new and exciting direction has emerged from the extensive use of physical models by biologists and is already making significant advances in the areas of biomechanics, locomotion, neuromechanics and sensorimotor control. Here, we provide an introduction and overview of robotics-inspired biology, describe two case studies and suggest several directions for the future of this exciting new research area.
© 2018. Published by The Company of Biologists Ltd.

Keywords:  Biomimetics; Locomotion; Mechanical device; Physical model; Robotics

Mesh:

Year:  2018        PMID: 29599417     DOI: 10.1242/jeb.138438

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  17 in total

1.  Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning.

Authors:  Matthew Ishige; Takuya Umedachi; Tadahiro Taniguchi; Yoshihiro Kawahara
Journal:  Soft Robot       Date:  2019-05-20       Impact factor: 8.071

2.  Bioinspired cilia arrays with programmable nonreciprocal motion and metachronal coordination.

Authors:  Xiaoguang Dong; Guo Zhan Lum; Wenqi Hu; Rongjing Zhang; Ziyu Ren; Patrick R Onck; Metin Sitti
Journal:  Sci Adv       Date:  2020-11-06       Impact factor: 14.136

3.  Using a biologically mimicking climbing robot to explore the performance landscape of climbing in lizards.

Authors:  Johanna T Schultz; Hendrik K Beck; Tina Haagensen; Tasmin Proost; Christofer J Clemente
Journal:  Proc Biol Sci       Date:  2021-03-31       Impact factor: 5.349

4.  Body-limb coordination mechanism underlying speed-dependent gait transitions in sea roaches.

Authors:  Takeshi Kano; Yoshihito Ikeshita; Akira Fukuhara; Akio Ishiguro
Journal:  Sci Rep       Date:  2019-02-26       Impact factor: 4.379

5.  Multi-functional soft-bodied jellyfish-like swimming.

Authors:  Ziyu Ren; Wenqi Hu; Xiaoguang Dong; Metin Sitti
Journal:  Nat Commun       Date:  2019-07-02       Impact factor: 14.919

6.  Hybrid Inspired Research on the Flying-Jumping Locomotion of Locusts Using Robot Counterpart.

Authors:  Dunwen Wei; Tao Gao; Zhaoxin Li; Xiaojuan Mo; Shuqin Zheng; Cong Zhou
Journal:  Front Neurorobot       Date:  2019-10-23       Impact factor: 2.650

7.  Avoidance of non-localizable obstacles in echolocating bats: A robotic model.

Authors:  Carl Bou Mansour; Elijah Koreman; Jan Steckel; Herbert Peremans; Dieter Vanderelst
Journal:  PLoS Comput Biol       Date:  2019-12-19       Impact factor: 4.475

Review 8.  Collecting eco-evolutionary data in the dark: Impediments to subterranean research and how to overcome them.

Authors:  Stefano Mammola; Enrico Lunghi; Helena Bilandžija; Pedro Cardoso; Volker Grimm; Susanne I Schmidt; Thomas Hesselberg; Alejandro Martínez
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

9.  The Logic of Interactive Biorobotics.

Authors:  Edoardo Datteri
Journal:  Front Bioeng Biotechnol       Date:  2020-07-08

10.  Ecology of fear in highly invasive fish revealed by robots.

Authors:  Giovanni Polverino; Vrishin R Soman; Mert Karakaya; Clelia Gasparini; Jonathan P Evans; Maurizio Porfiri
Journal:  iScience       Date:  2021-12-16
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