Juan M. Bogado
Papers
2
Total Citations
16
H-Index
2
About
Juan M. Bogado is a robotics and control systems researcher whose work bridges bio-inspired locomotion and advanced teleoperation. His most cited paper, "Gait Synthesis and Modulation for Quadruped Robot Locomotion Using a Simple Feed-Forward Network" (2006, 9 citations), introduces a streamlined approach to generating and adapting gaits in quadruped robots, demonstrating how simple neural architectures can produce complex, adaptive locomotion patterns—a contribution that remains relevant in the field of legged robotics. Bogado is also a key proponent of Bilateral Control by States Convergence, a novel control strategy that he successfully extended to multi-input, multi-output (MIMO) systems with time delay. His 2010 paper on "Generalized Bilateral MIMO Control by States Convergence" (7 citations) applies this framework to the teleoperation of a 2-DOF helicopter, showcasing its potential for high-fidelity remote manipulation. While his citation counts are modest, Bogado’s work represents a thoughtful, foundational contribution to under-explored control paradigms and efficient robotic locomotion, offering valuable insights for researchers interested in minimalistic control architectures and state-space approaches to teleoperation.
Research Focus
Key Achievements
Top Papers
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