J. J. Carroll
Papers
9
Total Citations
462
H-Index
7
About
J. J. Carroll is a researcher whose work sits at the intersection of nonlinear control theory, motor control, and robotics. Best known for pioneering the application of integrator backstepping techniques to motor-driven robotic systems, Carroll's most celebrated contribution is his 1994 paper on adaptive and robust backstepping controllers for brush DC motors driving robotic manipulators — a work that has accumulated over 329 citations and remains a landmark reference in the field. By leveraging Lyapunov stability arguments, Carroll demonstrated rigorous guarantees for trajectory tracking performance despite system uncertainties, a contribution that helped cement backstepping as a practical tool for real-world motor control. His subsequent work extended these methods to permanent magnet and brushless DC motors, addressing parametric uncertainty and achieving global asymptotic stability results. Carroll also made meaningful contributions to force control of constrained robot manipulators, producing influential review papers that unified competing methodologies and clarified their relative merits. More recently, his research has expanded toward deploying deep learning models on autonomous robots within the ROS framework, reflecting an ability to evolve with emerging technologies. Across a career spanning three decades, Carroll's blend of rigorous theory and experimental implementation has made his work an enduring resource for control engineers and robotics researchers alike.
Research Focus
Key Achievements
Top Papers
- 1Integrator backstepping control of a brush DC motor turning a robotic load329 citations · 1994
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- 3Review and unification of reduced‐order force control methods22 citations · 1993
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- 5Review and Unification of Reduced Order Force Control Methods13 citations · 1992
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- 8Robust tracking control of rigid-link electrically-driven robots7 citations · 1994
- 9