Omer Yuval

Biologically-constrained insect models enable realistic simulations and improve biomechanical predictions of locomotion

The paper develops biologically-constrained 3D models of insect locomotion, improving simulation realism and biomechanical predictions by integrating anatomical and passive biomechanical constraints.

A hierarchy of locomotion costs shapes optimal foraging strategy

This study shows that Caenorhabditis elegans uses a hierarchical locomotion strategy to achieve optimal volumetric coverage in search tasks, with movement patterns shaped by a cost hierarchy and embodied constraints.

The Sniffbot: A biohybrid robot for active sensing-based odor localization and discrimination

The paper introduces Sniffbot, a biohybrid robot that uses a locust antenna to detect and localize odors more effectively than existing methods.

Multiple locomotion gaits in the mole cricket

This study quantitatively characterizes the locomotion gaits of mole crickets, identifying a previously unreported backward-bound gait and using biomechanical modeling and deep reinforcement learning to test form-function relationships.

Six-legged-bound: a newly-described insect gait

The paper describes a new insect gait called backward-bound in mole crickets, which is used to escape danger and is characterized by specific leg coordination patterns.

Neuron tracing and quantitative analyses of dendritic architecture reveal symmetrical three-way-junctions and phenotypes of git-1 in C. elegans

The paper develops a method to analyze PVD neuron dendritic architecture in C. elegans, revealing symmetrical three-way-junctions and morphological changes due to git-1 mutations.

Inhibition underlies fast undulatory locomotion in C. elegans

The paper shows inhibition is crucial for fast undulatory locomotion in C. elegans, not direction, and demonstrates its role through experiments and computational models.