<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Robust self-propulsion in sand using simply controlled vibrating cubes</dc:title><dc:creator>Liu, Bangyuan; Wang, Tianyu; Kerimoglu, Deniz; Kojouharov, Velin; Hammond, Frank L; Goldman, Daniel I</dc:creator><dc:corporate_author/><dc:editor/><dc:description>&lt;p&gt;Much of the Earth and many surfaces of extraterrestrial bodies are composed of non-cohesive particulate matter. Locomoting on such granular terrain is challenging for common robotic devices, either wheeled or legged. In this work, we discover a robust alternative locomotion mechanism on granular media-generating movement via self-vibration. To demonstrate the effectiveness of this locomotion mechanism, we develop a cube-shaped robot with an embedded vibratory motor and conduct systematic experiments on granular terrains of various particle properties and slopes. We investigate how locomotion changes as a function of vibration frequency/intensity on such granular terrains. Compared to hard surfaces, we find such a vibratory locomotion mechanism enables the robot to move faster, and more stably on granular surfaces, facilitated by the interaction between the body and surrounding grains. We develop a numerical simulation of a vibrating single cube on granular media, enabling us to justify our hypothesis that the cube achieves locomotion through the oscillations excited at a distance from the cube’s center of mass. The simplicity in structural design and controls of this robotic system indicates that vibratory locomotion can be a valuable alternative way to produce robust locomotion on granular terrains. We further demonstrate that such cube-shaped robots can be used as modular units for vibratory robots with capabilities of maneuverable forward and turning motions, showing potential practical scenarios for robotic systems.&lt;/p&gt;</dc:description><dc:publisher>Frontiers</dc:publisher><dc:date>2024-08-30</dc:date><dc:nsf_par_id>10543314</dc:nsf_par_id><dc:journal_name>Frontiers in Robotics and AI</dc:journal_name><dc:journal_volume>11</dc:journal_volume><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn>2296-9144</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.3389/frobt.2024.1298676</dc:doi><dcq:identifierAwardId>2328254; 2209792</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>