Kyriakos G. Vamvoudakis
Papers
7
Total Citations
209
H-Index
5
About
Kyriakos G. Vamvoudakis is a researcher whose work spans reinforcement learning-based control, robotics, and autonomous systems — fields at the intersection of intelligent decision-making and real-world engineering challenges. His most influential contribution, an event-triggered optimal tracking control algorithm for nonlinear systems (2016, 132 citations), demonstrated how reinforcement learning principles could be applied to solve infinite-horizon optimal control problems with computational efficiency, making it a foundational reference in adaptive control literature. This work exemplifies his broader focus on developing principled, data-driven approaches for complex dynamical systems. Beyond control theory, Vamvoudakis has made notable contributions to anthropomorphic robotics, co-authoring a series of papers (2019) on adaptive, dexterous robot hands capable of robust grasping and in-hand manipulation through underactuated, compliant mechanisms — work that bridges biomechanics and robotic design. His research portfolio also extends to multi-UAV operational frameworks, kinodynamic motion planning in dynamic environments, and robust adaptive extremum-seeking control without persistence of excitation. Collectively, his publications reflect a commitment to translating rigorous theoretical advances into scalable, practical systems — making his work highly relevant for students and researchers working at the frontier of intelligent autonomy and robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Event-triggered optimal tracking control of nonlinear systems132 citations · 2016
- 2An Adaptive Actuation Mechanism for Anthropomorphic Robot Hands36 citations · 2019
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- 6A Compliant, Underactuated Finger for Anthropomorphic Hands5 citations · 2019
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