Literature DB >> 22350535

Energy management that generates terrain following versus apex-preserving hopping in man and machine.

Karl Theodor Kalveram1, Daniel F B Haeufle, André Seyfarth, Sten Grimmer.   

Abstract

While hopping, 12 subjects experienced a sudden step down of 5 or 10 cm. Results revealed that the hopping style was "terrain following". It means that the subjects pursued to keep the distance between maximum hopping height (apex) and ground profile constant. The spring-loaded inverse pendulum (SLIP) model, however, which is currently considered as template for stable legged locomotion would predict apex-preserving hopping, by which the absolute maximal hopping height is kept constant regardless of changes of the ground level. To get more insight into the physics of hopping, we outlined two concepts of energy management: "constant energy supply", by which in each bounce--regardless of perturbations--the same amount of mechanical energy is injected, and "lost energy supply", by which the mechanical energy that is going to be dissipated in the current cycle is assessed and replenished. When tested by simulations and on a robot testbed capable of hopping, constant energy supply generated stable and robust terrain following hopping, whereas lost energy supply led to something like apex-preserving hopping, which, however, lacks stability as well as robustness. Comparing simulated and machine hopping with human hopping suggests that constant energy supply has a good chance to be used by humans to generate hopping.

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Year:  2012        PMID: 22350535     DOI: 10.1007/s00422-012-0476-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

1.  Humans falling in holes: adaptations in lower-limb joint mechanics in response to a rapid change in substrate height during human hopping.

Authors:  Taylor J M Dick; Laksh K Punith; Gregory S Sawicki
Journal:  J R Soc Interface       Date:  2019-10-02       Impact factor: 4.118

2.  Locomotor Sub-functions for Control of Assistive Wearable Robots.

Authors:  Maziar A Sharbafi; Andre Seyfarth; Guoping Zhao
Journal:  Front Neurorobot       Date:  2017-09-04       Impact factor: 2.650

3.  Effective Viscous Damping Enables Morphological Computation in Legged Locomotion.

Authors:  An Mo; Fabio Izzi; Daniel F B Haeufle; Alexander Badri-Spröwitz
Journal:  Front Robot AI       Date:  2020-08-28

4.  Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy.

Authors:  Daniel F B Haeufle; Katrin Stollenmaier; Isabelle Heinrich; Syn Schmitt; Keyan Ghazi-Zahedi
Journal:  Front Robot AI       Date:  2020-10-21

5.  The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function.

Authors:  Daniel F B Haeufle; Birgit Schmortte; Hartmut Geyer; Roy Müller; Syn Schmitt
Journal:  Front Comput Neurosci       Date:  2018-10-09       Impact factor: 2.380

6.  Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Authors:  Jonathan Oehlke; Philipp Beckerle; André Seyfarth; Maziar A Sharbafi
Journal:  Biol Cybern       Date:  2018-10-28       Impact factor: 2.086

  6 in total

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