Literature DB >> 33157854

Robotic vertical jumping agility via series-elastic power modulation.

Duncan W Haldane1, M M Plecnik2, J K Yim2, R S Fearing2.   

Abstract

Several arboreal mammals have the ability to rapidly and repeatedly jump vertical distances of 2 m, starting from rest. We characterize this performance by a metric we call vertical jumping agility. Through basic kinetic relations, we show that this agility metric is fundamentally constrained by available actuator power. Although rapid high jumping is an important performance characteristic, the ability to control forces during stance also appears critical for sophisticated behaviors. The animal with the highest vertical jumping agility, the galago (Galago senegalensis), is known to use a power-modulating strategy to obtain higher peak power than that of muscle alone. Few previous robots have used series-elastic power modulation (achieved by combining series-elastic actuation with variable mechanical advantage), and because of motor power limits, the best current robot has a vertical jumping agility of only 55% of a galago. Through use of a specialized leg mechanism designed to enhance power modulation, we constructed a jumping robot that achieved 78% of the vertical jumping agility of a galago. Agile robots can explore venues of locomotion that were not previously attainable. We demonstrate this with a wall jump, where the robot leaps from the floor to a wall and then springs off the wall to reach a net height that is greater than that accessible by a single jump. Our results show that series-elastic power modulation is an actuation strategy that enables a clade of vertically agile robots.
Copyright © 2016, American Association for the Advancement of Science.

Entities:  

Year:  2016        PMID: 33157854     DOI: 10.1126/scirobotics.aag2048

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  6 in total

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Authors:  Peter J Bishop; Krijn B Michel; Antoine Falisse; Andrew R Cuff; Vivian R Allen; Friedl De Groote; John R Hutchinson
Journal:  PLoS Comput Biol       Date:  2021-04-01       Impact factor: 4.475

2.  Jumping robot bests biology by enhancing stored energy.

Authors:  Sarah Bergbreiter
Journal:  Nature       Date:  2022-04       Impact factor: 49.962

3.  Engineered jumpers overcome biological limits via work multiplication.

Authors:  Elliot W Hawkes; Charles Xiao; Richard-Alexandre Peloquin; Christopher Keeley; Matthew R Begley; Morgan T Pope; Günter Niemeyer
Journal:  Nature       Date:  2022-04-27       Impact factor: 49.962

Review 4.  Taxonomic and geographic bias in 50 years of research on the behaviour and ecology of galagids.

Authors:  Grace Ellison; Martin Jones; Bradley Cain; Caroline M Bettridge
Journal:  PLoS One       Date:  2021-12-15       Impact factor: 3.240

5.  Self-Jumping of a Liquid Crystal Elastomer Balloon under Steady Illumination.

Authors:  Dali Ge; Jielin Jin; Yuntong Dai; Peibao Xu; Kai Li
Journal:  Polymers (Basel)       Date:  2022-07-06       Impact factor: 4.967

6.  Legless soft robots capable of rapid, continuous, and steered jumping.

Authors:  Rui Chen; Zean Yuan; Jianglong Guo; Long Bai; Xinyu Zhu; Fuqiang Liu; Huayan Pu; Liming Xin; Yan Peng; Jun Luo; Li Wen; Yu Sun
Journal:  Nat Commun       Date:  2021-12-07       Impact factor: 14.919

  6 in total

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