activity
20242026
collaborators

6 papers

cs.RO2026

Distributed Acoustic Localization Array Deployed Using a Soft Everting Vine Robot

Sebastian Lorca Godoy, Ciera McFarland, Michael Val +3

Soft robot exteroception is increasingly being explored for a variety of field applications. In this work, we present a sound-based system for localizing disaster victims in confin…

cs.RO2026

Gotta Grow Fast: Design and Benchmarking of a Tip Mount for High-Speed Vine Robots

Antonio Alvarez Valdivia, Robert Reeve, Ankush Dhawan +4

Soft, growing vine robots extend through tip eversion, a mechanism that enables navigation through cluttered environments. However, integrating cameras and other sensors at the tip…

cs.RO2026

Evaluating Accuracy of Vine Robot Shape Sensing with Distributed Inertial Measurement Units

Alexis E. Laudenslager, Antonio Alvarez Valdivia, Nathaniel Hanson +1

Soft, tip-extending vine robots are well suited for navigating tight, debris-filled environments, making them ideal for urban search and rescue. Sensing the full shape of a vine ro…

cs.RO2026

On Steerability Factors for Growing Vine Robots

Ciera McFarland, Antonio Alvarez, Sarah Taher +2

Vine robots extend their tubular bodies by everting material from the tip, enabling navigation in complex environments with a minimalist soft body. Despite their promise for field…

cs.RO2025

RubbleSim: A Photorealistic Structural Collapse Simulator for Confined Space Mapping

Constantine Frost, Chad Council, Margaret McGuinness +1

Despite well-reported instances of robots being used in disaster response, there is scant published data on the internal composition of the void spaces within structural collapse i…

cs.RO2024

Field Insights for Portable Vine Robots in Urban Search and Rescue

Ciera McFarland, Ankush Dhawan, Riya Kumari +3

Soft, growing vine robots are well-suited for exploring cluttered, unknown environments, and are theorized to be performant during structural collapse incidents caused by earthquak…