Jointed tails enhance control of three-dimensional body rotation

Tails used as inertial appendages induce body rotations of animals and robots-a phenomenon that is governed largely by the ratio of the body and tail moments of inertia. However, vertebrate tails have more degrees of freedom (e.g., number of joints, rotational axes) than most current theoretical models and robotic tails. To understand how morphology affects inertial appendage function, we developed an optimization-based approach that finds the maximally effective tail trajectory and measures error from a target trajectory. For tails of equal total length and mass, increasing the number of equal-length joints increased the complexity of maximally effective tail motions. When we optimized the relative lengths of tail bones while keeping the total tail length, mass, and number of joints the same, this optimization-based approach found that the lengths match the pattern found in the tail bones of mammals specialized for inertial maneuvering. In both experiments, adding joints enhanced the performance of the inertial appendage, but with diminishing returns, largely due to the total control effort constraint. This optimization-based simulation can compare the maximum performance of diverse inertial appendages that dynamically vary in moment of inertia in 3D space, predict inertial capabilities from skeletal data, and inform the design of robotic inertial appendages.

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Institutions

Publication Details

Journal
Journal of The Royal Society Interface
Published
2025-02-01
DOI
https://doi.org/10.1098/rsif.2024.0355
Citations
5
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
2.70

Funders

Controls
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article

Jointed tails enhance control of three-dimensional body rotation

Bohao Zhang, Talia Y. Moore, Ceri Weber, Ram Vasudevan et al.
5 citations
Journal of The Royal Society Interface
Robotic Locomotion and Control
2.70
article

Jointed tails enhance control of three-dimensional body rotation

Bohao Zhang, Talia Y. Moore, Ceri Weber, Ram Vasudevan, Kimberly L. Cooper, Xun Fu
article en
5 citations

Abstract

Tails used as inertial appendages induce body rotations of animals and robots-a phenomenon that is governed largely by the ratio of the body and tail moments of inertia. However, vertebrate tails have more degrees of freedom (e.g., number of joints, rotational axes) than most current theoretical models and robotic tails. To understand how morphology affects inertial appendage function, we developed an optimization-based approach that finds the maximally effective tail trajectory and measures error from a target trajectory. For tails of equal total length and mass, increasing the number of equal-length joints increased the complexity of maximally effective tail motions. When we optimized the relative lengths of tail bones while keeping the total tail length, mass, and number of joints the same, this optimization-based approach found that the lengths match the pattern found in the tail bones of mammals specialized for inertial maneuvering. In both experiments, adding joints enhanced the performance of the inertial appendage, but with diminishing returns, largely due to the total control effort constraint. This optimization-based simulation can compare the maximum performance of diverse inertial appendages that dynamically vary in moment of inertia in 3D space, predict inertial capabilities from skeletal data, and inform the design of robotic inertial appendages.

Journal of The Royal Society InterfaceVol. 22(223)
American Museum of Natural History (US), University of Michigan (US), University of California San Diego (US), Robotics Research (United States) (US)
Oak Ridge Associated Universities, National Institutes of Health
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Robotic Locomotion and Control
2.70
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