Max Robotics — Global Service Robot Directory + US Certification

About

Beau Pollard’s research sits at the intersection of bioinspired robotics, fluid dynamics, and underwater sensing. His work focuses on how aquatic robots can emulate fish-like locomotion and use non-visual, proprioceptive feedback—sensing their own motion—to interpret the surrounding flow. Pollard’s most influential paper, “An Aquatic Robot Propelled by an Internal Rotor” (2016, 38 citations), introduced a novel underactuated design that uses internal momentum exchange for propulsion, offering a simpler alternative to traditional fins. He further advanced the field by demonstrating that a swimming robot with a passive tail can classify vortex wakes—a key step toward giving underwater vehicles “touch” in murky waters. His 2020 paper on learning hydrodynamic signatures through proprioceptive sensing (18 citations) showed how neural networks can decode flow structures from body kinematics alone. Pollard also explored limit cycle behavior in fish-like robots, contributing to reduced-order models that simplify control. With a growing citation record and a clear trajectory from mechanism design to intelligent sensing, his work is laying the groundwork for autonomous underwater robots that navigate and sense their environment as adeptly as marine animals.