Juan Cetina-Denis

Papers

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About

Juan Cetina-Denis is a leading figure in the intersection of nonlinear dynamics and mobile robotics, with a primary focus on chaotic trajectory generation. His most-cited work, "Design of a Chaotic Trajectory Generator Algorithm for Mobile Robots" (2022, 21 citations), introduces a novel algorithm that infuses the linear and angular velocities of differential drive robots with states from the Hénon chaotic map. This breakthrough enables unpredictable, yet bounded, motion patterns—critical for applications in surveillance, exploration, and obstacle avoidance where deterministic randomness is advantageous. By bridging chaos theory with practical robotic control, Cetina-Denis has opened new pathways for bio-inspired navigation and security-oriented path planning. His contributions are particularly notable for their elegance in translating abstract mathematical maps into real-world robotic behaviors, offering a scalable framework for non-repeating trajectory design. With growing recognition in the robotics and control communities, his work continues to inspire research on leveraging chaotic systems for autonomous agent mobility.