Patrick C. Curtis

Papers

Total Citations

135

H-Index

About

Patrick C. Curtis is a leading researcher in the emerging field of soft robotics, with a primary focus on the modeling, reduction, and control of highly deformable, nonlinear systems. His major contributions center on applying the Koopman operator framework to overcome the fundamental challenges of controlling soft robots, which possess infinite degrees of freedom and complex dynamics. In his most cited work, "Control of soft robots with inertial dynamics" (2023, 118 citations), Curtis introduced analytical and machine-learning-based methods to tame these nonlinearities, enabling more precise and reliable control for real-world applications. His earlier foundational paper, "Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator" (2020, 17 citations), demonstrated a pioneering approach to reducing system complexity while maintaining fidelity, paving the way for safer, more capable robots that can operate near humans in delicate environments. Curtis’s work bridges theory and practice, offering a rigorous mathematical backbone for a field often driven by empiricism. His achievements are notable for advancing the practical deployment of soft robots, making him a key figure in shaping the future of adaptive, human-safe robotics.