Literature DB >> 25663810

Walking on a moving surface: energy-optimal walking motions on a shaky bridge and a shaking treadmill can reduce energy costs below normal.

Varun Joshi1, Manoj Srinivasan1.   

Abstract

Understanding how humans walk on a surface that can move might provide insights into, for instance, whether walking humans prioritize energy use or stability. Here, motivated by the famous human-driven oscillations observed in the London Millennium Bridge, we introduce a minimal mathematical model of a biped, walking on a platform (bridge or treadmill) capable of lateral movement. This biped model consists of a point-mass upper body with legs that can exert force and perform mechanical work on the upper body. Using numerical optimization, we obtain energy-optimal walking motions for this biped, deriving the periodic body and platform motions that minimize a simple metabolic energy cost. When the platform has an externally imposed sinusoidal displacement of appropriate frequency and amplitude, we predict that body motion entrained to platform motion consumes less energy than walking on a fixed surface. When the platform has finite inertia, a mass- spring-damper with similar parameters to the Millennium Bridge, we show that the optimal biped walking motion sustains a large lateral platform oscillation when sufficiently many people walk on the bridge. Here, the biped model reduces walking metabolic cost by storing and recovering energy from the platform, demonstrating energy benefits for two features observed for walking on the Millennium Bridge: crowd synchrony and large lateral oscillations.

Entities:  

Keywords:  Millennium Bridge; biomechanics; energy optimality; legged locomotion; stability; walking

Year:  2015        PMID: 25663810      PMCID: PMC4309130          DOI: 10.1098/rspa.2014.0662

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  39 in total

Review 1.  Energetic consequences of walking like an inverted pendulum: step-to-step transitions.

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2.  Computer optimization of a minimal biped model discovers walking and running.

Authors:  Manoj Srinivasan; Andy Ruina
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3.  Running in the real world: adjusting leg stiffness for different surfaces.

Authors:  D P Ferris; M Louie; C T Farley
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4.  Sideways walking: preferred is slow, slow is optimal, and optimal is expensive.

Authors:  Matthew L Handford; Manoj Srinivasan
Journal:  Biol Lett       Date:  2014-01-15       Impact factor: 3.703

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Authors:  Yang Wang; Manoj Srinivasan
Journal:  Biol Lett       Date:  2014-09       Impact factor: 3.703

6.  Energetic cost of locomotion in animals.

Authors:  V A Tucker
Journal:  Comp Biochem Physiol       Date:  1970-06-15

7.  Fifteen observations on the structure of energy-minimizing gaits in many simple biped models.

Authors:  Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2010-06-11       Impact factor: 4.118

8.  Orangutans use compliant branches to lower the energetic cost of locomotion.

Authors:  S K S Thorpe; R H Crompton; R McN Alexander
Journal:  Biol Lett       Date:  2007-06-22       Impact factor: 3.703

9.  Optimality principles for model-based prediction of human gait.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2010-01-13       Impact factor: 2.712

10.  Origin of human bipedalism as an adaptation for locomotion on flexible branches.

Authors:  S K S Thorpe; R L Holder; R H Crompton
Journal:  Science       Date:  2007-06-01       Impact factor: 47.728

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  7 in total

1.  Walking crowds on a shaky surface: stable walkers discover Millennium Bridge oscillations with and without pedestrian synchrony.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  Biol Lett       Date:  2018-10-31       Impact factor: 3.703

2.  A controller for walking derived from how humans recover from perturbations.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

3.  Instantaneous Metabolic Cost of Walking: Joint-Space Dynamic Model with Subject-Specific Heat Rate.

Authors:  Dustyn Roberts; Howard Hillstrom; Joo H Kim
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

4.  Altering Compliance of a Load Carriage Device in the Medial-Lateral Direction Reduces Peak Forces While Walking.

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Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

5.  Properties of traditional bamboo carrying poles have implications for user interactions.

Authors:  Ryan T Schroeder; James L Croft; Giang D Ngo; John E A Bertram
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

6.  Energy cost associated with moving platforms.

Authors:  Carolyn A Duncan; Scott N MacKinnon; Jacques F Marais; Fabien A Basset
Journal:  PeerJ       Date:  2018-08-29       Impact factor: 2.984

7.  A unified energy-optimality criterion predicts human navigation paths and speeds.

Authors:  Geoffrey L Brown; Nidhi Seethapathi; Manoj Srinivasan
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-20       Impact factor: 11.205

  7 in total

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