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About

Domenico Colacino is a researcher whose work sits at the intersection of control theory, robotics, and biomechatronics, with particular expertise in robust and optimal control design for complex nonlinear systems. His most impactful contribution — a 2018 study on model-based tracking control for a biomechatronic rehabilitation device, which has garnered 51 citations — demonstrates his ability to bridge advanced theoretical frameworks with real-world clinical applications, producing embedded digital controllers that have been physically implemented and tested. A consistent thread throughout his career is the application of guaranteed cost control methodologies to uncertain nonlinear and bilinear systems, enabling robust state feedback designs that maintain performance guarantees under real-world uncertainty. His research into Pneumatic Artificial Muscles (PAMs) has been particularly notable, addressing the challenging problem of friction-induced hysteresis in pneumatic actuators — a key obstacle in developing compliant, biomimetic robotic systems such as exoskeletons and orthoses. With work spanning robotic arm control, wearable rehabilitation devices, and nonlinear quadratic systems, Colacino's research has meaningfully advanced the theoretical and practical foundations of human-robot interaction and biorobotic engineering.