Amir Ayali

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

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

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.

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.

This study investigates how female locusts navigate and circumvent obstacles during oviposition digging using 3D-printed obstacles and imaging techniques.

The paper investigates how respiratory gas levels interact to control ventilatory motor patterns in isolated locust ganglia, finding that hypoxia and hypercapnia both increase ventilation rate with hypercapnia being more potent.

This study investigates the functional connectivity between the locust subesophageal ganglion and leg CPGs, showing the SEG activates and coordinates leg motor patterns.

This study investigates the role of the locust subesophageal ganglion in inter-leg sensory-motor interactions, revealing contralateral pathways for signal transfer.