Locomotor Performance Overview

Principles

Definition

Locomotor performance is the academic concept and research area dedicated to investigating the capability, efficiency, and effectiveness of an organism's movement within its environment. This field is crucial for understanding how an organism's physical abilities influence its survival, reproduction, and ecological role.

Ontological type

Core Metrics

Biomechanical Determinants

Measurement Methods

Key developments

Key Figures

Energetic Foundations era

R. McN. Alexander [1] was active across major centers such as the University of Leeds [3] and The Ohio State University [4] during the Energetic Foundations era. His key contributions in this era include the dynamic similarity hypothesis for the gaits of quadrupedal mammals [7], the mechanics of hopping by kangaroos (Macropodidae) [8], and the mechanics of jumping by a dog (<i>Canis familiaris</i>) [9], which collectively emphasized dimensionless scaling and energetic efficiency in gait selection. Sten Grillner [2] connected work at Karolinska Institutet [5] and The University of Texas Medical Branch at Galveston [6] to explore locomotor control. His notable contribution in this era is On the central generation of locomotion in the low spinal cat [10], a foundational study that highlighted how spinal circuits generate rhythmic patterns and regulate timing for energy-efficient movement.

Integrated Neuromechanical Modeling era

Michael S. Beattie [1] is a prominent figure in the Integrated Neuromechanical Modeling era, with affiliations at University of California, San Francisco [3] and The Ohio State University [4] during the 1990s. He contributed to the development of a sensitive and reliable locomotor rating scale for open field testing in rats, as described in the paper A Sensitive and Reliable Locomotor Rating Scale for Open Field Testing in Rats [5], a standardized behavioral metric that underpinned quantitative links between locomotor performance, neuromuscular measurements, and predictive dynamic models in this era. Jacqueline C. Bresnahan [2] is also a key figure in this era, affiliated with University of California, San Francisco [3] and The Ohio State University [4]. Her contribution centers on the same locomotor rating scale work, the paper A Sensitive and Reliable Locomotor Rating Scale for Open Field Testing in Rats [5], which provided a crucial benchmarking tool that enabled rigorous comparisons between biological locomotion data and engineered predictive models in the Integrated Neuromechanical Modeling era.

Energy-Aware Neuromechanics era

George Lauder [1] is a leading figure in energy-aware neuromechanics during this era, with affiliations at Harvard University [3] and the Massachusetts Institute of Technology [4]. His key contributions based on the era's papers include the computational analysis of vortex dynamics and performance enhancement due to body–fin and fin–fin interactions in fish-like locomotion [7], the development of robotic models for studying undulatory locomotion in fishes [8], and the hydrodynamics of median-fin interactions in fish-like locomotion: effects of fin shape and movement [9], which collectively illuminate how hydrodynamic interactions and engineered proxies can reduce metabolic cost in aquatic locomotion. Rory P. Wilson [2] is another central figure of this era with affiliations at the University of Arizona [5] and the University of Florida [6]. Wilson's contributions include the work on making overall dynamic body acceleration work: on the theory of acceleration as a proxy for energy expenditure [10], moved by that sinking feeling: variable diving geometry underlies movement strategies in whale sharks [11], and Finding turning-points in ultra-high-resolution animal movement data [12], all of which advance energy-aware telemetry and analytics for linking movement to energetic outcomes.