Literature DB >> 33501277

Effective Viscous Damping Enables Morphological Computation in Legged Locomotion.

An Mo1, Fabio Izzi1,2, Daniel F B Haeufle2,3, Alexander Badri-Spröwitz2.   

Abstract

Muscle models and animal observations suggest that physical damping is beneficial for stabilization. Still, only a few implementations of physical damping exist in compliant robotic legged locomotion. It remains unclear how physical damping can be exploited for locomotion tasks, while its advantages as sensor-free, adaptive force- and negative work-producing actuators are promising. In a simplified numerical leg model, we studied the energy dissipation from viscous and Coulomb damping during vertical drops with ground-level perturbations. A parallel spring- damper is engaged between touch-down and mid-stance, and its damper auto-decouples from mid-stance to takeoff. Our simulations indicate that an adjustable and viscous damper is desired. In hardware we explored effective viscous damping and adjustability, and quantified the dissipated energy. We tested two mechanical, leg-mounted damping mechanisms: a commercial hydraulic damper, and a custom-made pneumatic damper. The pneumatic damper exploits a rolling diaphragm with an adjustable orifice, minimizing Coulomb damping effects while permitting adjustable resistance. Experimental results show that the leg-mounted, hydraulic damper exhibits the most effective viscous damping. Adjusting the orifice setting did not result in substantial changes of dissipated energy per drop, unlike adjusting the damping parameters in the numerical model. Consequently, we also emphasize the importance of characterizing physical dampers during real legged impacts to evaluate their effectiveness for compliant legged locomotion.
Copyright © 2020 Mo, Izzi, Haeufle and Badri-Spröwitz.

Entities:  

Keywords:  damping; drop test; energy dissipation; ground disturbance; legged locomotion; rolling diaphragm

Year:  2020        PMID: 33501277      PMCID: PMC7805837          DOI: 10.3389/frobt.2020.00110

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  12 in total

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Review 2.  Intelligence by mechanics.

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Authors:  D F B Haeufle; S Grimmer; A Seyfarth
Journal:  Bioinspir Biomim       Date:  2010-02-25       Impact factor: 2.956

4.  Scaling of sensorimotor delays in terrestrial mammals.

Authors:  Heather L More; J Maxwell Donelan
Journal:  Proc Biol Sci       Date:  2018-08-29       Impact factor: 5.349

5.  A fundamental mechanism of legged locomotion with hip torque and leg damping.

Authors:  Z H Shen; J E Seipel
Journal:  Bioinspir Biomim       Date:  2012-09-18       Impact factor: 2.956

6.  Quantifying control effort of biological and technical movements: an information-entropy-based approach.

Authors:  D F B Haeufle; M Günther; G Wunner; S Schmitt
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-22

7.  Kinetic and kinematic adjustments during perturbed walking across visible and camouflaged drops in ground level.

Authors:  Roy Müller; Kevin Tschiesche; Reinhard Blickhan
Journal:  J Biomech       Date:  2014-05-04       Impact factor: 2.712

8.  Trunk pitch oscillations for energy trade-offs in bipedal running birds and robots.

Authors:  Özge Drama; Alexander Badri-Spröwitz
Journal:  Bioinspir Biomim       Date:  2020-03-31       Impact factor: 2.956

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

Authors:  Karl Theodor Kalveram; Daniel F B Haeufle; André Seyfarth; Sten Grimmer
Journal:  Biol Cybern       Date:  2012-02-21       Impact factor: 2.086

10.  Series Elastic Behavior of Biarticular Muscle-Tendon Structure in a Robotic Leg.

Authors:  Felix Ruppert; Alexander Badri-Spröwitz
Journal:  Front Neurorobot       Date:  2019-08-13       Impact factor: 2.650

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  2 in total

1.  A Novel Spider-Inspired Rotary-Rolling Diaphragm Actuator with Linear Torque Characteristic and High Mechanical Efficiency.

Authors:  Jonas Hepp; Alexander Badri-Spröwitz
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2.  Hybrid Parallel Compliance Allows Robots to Operate With Sensorimotor Delays and Low Control Frequencies.

Authors:  Milad Shafiee Ashtiani; Alborz Aghamaleki Sarvestani; Alexander Badri-Spröwitz
Journal:  Front Robot AI       Date:  2021-06-16
  2 in total

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