Jason Bettega
Papers
12
Total Citations
98
H-Index
5
About
Jason Bettega is an emerging robotics and control systems researcher whose work spans cable-driven parallel robots, underactuated mechanisms, and advanced control methodologies. His research has made significant contributions to the precise control of cable-driven parallel robots (CDPRs), particularly in addressing the complex challenges posed by flexible cables, suspended configurations, and real-world nonlinearities. His most-cited work (22 citations) introduced a novel model predictive control framework for path tracking in CDPRs with axially-flexible cables, while complementary studies developed pose-dependent MPC strategies and Extended Kalman Filter synthesis for state estimation in these systems. Beyond cable robotics, Bettega has advanced the field of underactuated systems, proposing stable inverse dynamics methods for feedforward control of nonminimum-phase systems (15 citations) and energy-optimal trajectory planning for underactuated manipulators. His 2021 work on vibration control of flexible robot arms under time delay (16 citations) demonstrates his breadth across structural dynamics and robust control. More recently, he has explored machine learning approaches for fault detection in CDPRs. With over 90 cumulative citations across a compact body of work, Bettega is establishing himself as a creative and technically rigorous voice in modern robotics research.
Research Focus
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