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About

Brandon Caasenbrood is a pioneering researcher at the intersection of soft robotics, computational design, and control theory, whose work has significantly advanced the practical realization of intelligent soft robotic systems. His research spans topology optimization, hyperelastic material modeling, and energy-based control strategies, with a consistent focus on bridging the gap between theoretical frameworks and real-world implementation. Caasenbrood's most influential contribution — a computational framework for pressure-driven soft robots through nonlinear topology optimization (32 citations) — introduced a systematic, mathematically rigorous approach to soft robot design that replaced ad hoc methods with optimality-driven synthesis. Complementing this, his control-oriented hyperelastic models grounded in differential geometry of curves (30 citations) and Cosserat beam formulations have provided the robotics community with computationally tractable tools for dynamic modeling and passivity-based control of underactuated manipulators. Perhaps most notably, Caasenbrood developed Sorotoki, an open-source MATLAB toolkit (19 citations) that consolidates design, modeling, and control into a unified platform, substantially lowering barriers for researchers entering the field. His desktop pneumatic testing platform (23 citations) further exemplifies his commitment to accessible, real-time soft robotics research. Collectively accumulating over 140 citations, his work represents a cohesive and impactful body of research shaping the future of soft robotic systems.