Kathryn Daltorio’s robotics research is inspired by animal behaviors that exceed current robot capabilities. She has studied the locomotion of earthworms, decision-making in cockroaches, and climbing in geckos and insects. Her robots won autonomous lawn mowing competitions, were the first to climb vertically with gecko-inspired adhesives on simple feet, and provided platforms for testing hypotheses about animal locomotion and neurobiologically-inspired control. She and her students build a range of robotic prototypes that use fabrics, mechanical linkages, adhesives, servomotors and shape-memory alloy actuators, various sensors and cameras, soft and hard polymers, and modular 3D printed parts to explore new designs and control strategies. These provide test-beds for scalable neurobiologically-inspired control networks, abstract mathematical modeling and optimization, and other software tools. Her current goals are to:
make robots even more capable of traversing through and working in diverse, unknown environments and
to better understand animals as model smart physical systems.
Conner Riley
2026
Modeling Strain Dynamics in Haltere Variations in Flapping Flies: Computational Modeling on Mechanosensation
Ethan Wood
2024
Embedding Textiles into 3D Printed Robot Feet to Control Ground Penetration