Literature DB >> 36224418

Multi-environment robotic transitions through adaptive morphogenesis.

Robert Baines1, Sree Kalyan Patiballa1,2, Joran Booth1, Luis Ramirez1, Thomas Sipple1, Andonny Garcia1, Frank Fish3, Rebecca Kramer-Bottiglio4.   

Abstract

The current proliferation of mobile robots spans ecological monitoring, warehouse management and extreme environment exploration, to an individual consumer's home1-4. This expanding frontier of applications requires robots to transit multiple environments, a substantial challenge that traditional robot design strategies have not effectively addressed5,6. For example, biomimetic design-copying an animal's morphology, propulsion mechanism and gait-constitutes one approach, but it loses the benefits of engineered materials and mechanisms that can be exploited to surpass animal performance7,8. Other approaches add a unique propulsive mechanism for each environment to the same robot body, which can result in energy-inefficient designs9-11. Overall, predominant robot design strategies favour immutable structures and behaviours, resulting in systems incapable of specializing across environments12,13. Here, to achieve specialized multi-environment locomotion through terrestrial, aquatic and the in-between transition zones, we implemented 'adaptive morphogenesis', a design strategy in which adaptive robot morphology and behaviours are realized through unified structural and actuation systems. Taking inspiration from terrestrial and aquatic turtles, we built a robot that fuses traditional rigid components and soft materials to radically augment the shape of its limbs and shift its gaits for multi-environment locomotion. The interplay of gait, limb shape and the environmental medium revealed vital parameters that govern the robot's cost of transport. The results attest that adaptive morphogenesis is a powerful method to enhance the efficiency of mobile robots encountering unstructured, changing environments.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 36224418     DOI: 10.1038/s41586-022-05188-w

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  23 in total

1.  Giant Galapagos tortoises walk without inverted pendulum mechanical-energy exchange.

Authors:  Peter A Zani; Jinger S Gottschall; Rodger Kram
Journal:  J Exp Biol       Date:  2005-04       Impact factor: 3.312

2.  From swimming to walking with a salamander robot driven by a spinal cord model.

Authors:  Auke Jan Ijspeert; Alessandro Crespi; Dimitri Ryczko; Jean-Marie Cabelguen
Journal:  Science       Date:  2007-03-09       Impact factor: 47.728

Review 3.  Multi-modal locomotion: from animal to application.

Authors:  R J Lock; S C Burgess; R Vaidyanathan
Journal:  Bioinspir Biomim       Date:  2013-12-16       Impact factor: 2.956

4.  Flipper-driven terrestrial locomotion of a sea turtle-inspired robot.

Authors:  Nicole Mazouchova; Paul B Umbanhowar; Daniel I Goldman
Journal:  Bioinspir Biomim       Date:  2013-04-23       Impact factor: 2.956

Review 5.  Biorobotics: using robots to emulate and investigate agile locomotion.

Authors:  Auke J Ijspeert
Journal:  Science       Date:  2014-10-10       Impact factor: 47.728

6.  "On the Fence" versus "All in": Insights from Turtles for the Evolution of Aquatic Locomotor Specializations and Habitat Transitions in Tetrapod Vertebrates.

Authors:  Richard W Blob; Christopher J Mayerl; Angela R V Rivera; Gabriel Rivera; Vanessa K H Young
Journal:  Integr Comp Biol       Date:  2016-10-23       Impact factor: 3.326

7.  Ultragentle manipulation of delicate structures using a soft robotic gripper.

Authors:  Nina R Sinatra; Clark B Teeple; Daniel M Vogt; Kevin Kit Parker; David F Gruber; Robert J Wood
Journal:  Sci Robot       Date:  2019-08-28

8.  Variable stiffness morphing limb for amphibious legged robots inspired by chelonian environmental adaptations.

Authors:  Robert Baines; Simon Freeman; Frank Fish; Rebecca Kramer-Bottiglio
Journal:  Bioinspir Biomim       Date:  2020-02-14       Impact factor: 2.956

9.  Reverse-engineering the locomotion of a stem amniote.

Authors:  John A Nyakatura; Kamilo Melo; Tomislav Horvat; Kostas Karakasiliotis; Vivian R Allen; Amir Andikfar; Emanuel Andrada; Patrick Arnold; Jonas Lauströer; John R Hutchinson; Martin S Fischer; Auke J Ijspeert
Journal:  Nature       Date:  2019-01-16       Impact factor: 49.962

10.  Learning robust perceptive locomotion for quadrupedal robots in the wild.

Authors:  Takahiro Miki; Joonho Lee; Jemin Hwangbo; Lorenz Wellhausen; Vladlen Koltun; Marco Hutter
Journal:  Sci Robot       Date:  2022-01-19
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