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About

Daniel Soto is a pioneering researcher in bio-inspired robotics and soft matter physics, whose work bridges gecko adhesion, granular locomotion, and fluid dynamics. His most impactful contribution is the development of a microfabricated wedge-shaped adhesive array that achieves gecko-like dynamic adhesion, directionality, and long lifetime—a landmark study with 273 citations that set a new standard for synthetic dry adhesives. He further advanced this field by demonstrating how hierarchical structures enable climbing on rough vertical surfaces (91 citations), providing a framework for robots to scale complex terrains. More recently, Soto has turned to multilegged locomotion, introducing a novel "multilegged matter transport" framework (35 citations) that treats terrain as a noisy information channel, and exploring frictional swimming in self-propelled robots (24 citations). His work on real-time granular terrain remodeling (10 citations) and tail-tapping for rough terrain navigation (6 citations) showcases practical robotic applications. Soto’s research also extends to fundamental physics, including hydrodynamic fluctuation-induced forces (5 citations) and synthetic cilia design (5 citations). With over 450 total citations and a growing portfolio of high-impact studies, Soto is shaping how robots move through and interact with complex, natural environments.