Miguel D. Cacho

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About

Miguel D. Cacho is a robotics researcher whose work sits at the intersection of autonomous navigation, human-robot interaction, and teleoperation. His most influential contribution, "Obstacle avoidance in dynamic environments based on velocity space optimization" (2020), has garnered 28 citations and addresses a core challenge in mobile robotics: enabling robots to navigate safely through unpredictable, moving obstacles. This work has practical implications for service robots operating in crowded public spaces. Cacho also made a notable impact with "GuideBot. A Tour Guide System Based on Mobile Robots" (2013, 13 citations), which explores the growing demand for autonomous tour guides in museums and exhibitions—robots that require robust perception, navigation, and natural human interaction. Additionally, his research on "Passive teleoperation of mobile robot with input-output linearization and dynamic extension" (2014) demonstrates expertise in control theory, using haptic devices to safely teleoperate mobile robots. Together, these works highlight Cacho’s focus on making robots both autonomous and responsive to human presence, bridging the gap between theoretical control systems and real-world deployment. His contributions are particularly relevant for students and researchers interested in safe navigation, human-robot collaboration, and the practical challenges of deploying robots in dynamic environments.