Alberto Soto

University of California, Irvine, Harvey Mudd College

Papers

Total Citations

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About

Alberto Soto investigates the biomechanics and control of animal locomotion, with a particular focus on predator-prey interactions and multi-robot systems for marine biology. His most cited work, "Pursuit predation with intermittent locomotion in zebrafish" (2020, 27 citations), reveals how predators adjust their movement strategies during capture, contrasting continuous pursuit with intermittent pausing—a behavior common in many species but underexplored in control theory. This research bridges ethology and robotics, offering insights into how animals optimize energy and accuracy during hunting. In a more recent contribution, "Multi-Robot Expansive Planning and Trajectory Evaluation for Tracking and Localization of Marine Life" (2023, 2 citations), Soto pioneers the use of autonomous underwater vehicles (AUVs) to replace static receivers for tracking tagged marine animals. His work advances the design of collaborative robot teams that dynamically plan trajectories to improve localization accuracy, with applications in conservation and behavioral ecology. Though early in his career, Soto’s interdisciplinary approach—merging biology, control systems, and robotics—positions him as an emerging leader in bio-inspired robotics and marine monitoring technologies.