Tito G. Amaral

Papers

Total Citations

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About

Tito G. Amaral is a researcher in robotics and intelligent control systems, with a focus on bipedal locomotion and visual servoing. His most cited work, "A neural-fuzzy walking control of an autonomous biped robot" (2004), has garnered 22 citations and introduces an adaptive control system that combines a general regression neural network with fuzzy logic to achieve stable, autonomous walking. This contribution is significant for advancing bio-inspired robotics, offering a robust framework for dynamic balance and gait adaptation. Amaral also explored visual motion detection in "Visual motion detection with hand-eye manipulator using statistic moments classifiers and fuzzy logic approach" (2002), where he compared statistical and fuzzy methods for object recognition in a camera-in-hand robotic setup. Though less cited, this work demonstrates his versatility in integrating perception and control. Amaral’s research bridges neural networks, fuzzy systems, and robotics, providing foundational techniques for autonomous robot navigation and manipulation. His work continues to influence students and researchers interested in intelligent, adaptive robotic systems, particularly in the areas of humanoid robotics and sensor-based control.