Alankriti Srivastava

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About

Alankriti Srivastava is a robotics researcher whose work focuses on the localization and control of soft, vine-like robots—a novel class of continuum robots that navigate by growing. Her key contributions lie in developing sensing and localization strategies for these flexible systems, which are uniquely suited for exploration in cluttered or delicate environments where rigid robots fail. In her highly cited 2023 paper, "Vine Robot Localization Via Collision," Srivastava tackles the fundamental challenge of position estimation when traditional sensors like cameras are obscured. By leveraging the robot’s own physical interactions with its environment, she demonstrates a method to infer location through collisions, bypassing the limitations of conventional sensing. This work, which has garnered 6 citations, is pivotal for enabling autonomous navigation in search-and-rescue or medical applications. Srivastava’s research bridges a critical gap in soft robotics, offering a robust alternative to vision-based systems and paving the way for more resilient field robots. Her innovative approach to localization promises to expand the operational capabilities of soft robots in real-world, unstructured settings.