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About

Joaquin Sitte is a robotics researcher whose work spans autonomous mobile robots, robot design methodology, and machine perception. Best known for his contributions to miniature robotics and systematic design frameworks, Sitte has helped shape how engineers approach the complexity inherent in building intelligent robotic systems. His most cited work, *Advances in Autonomous Mini Robots* (2012, 38 citations), reflects his sustained involvement in the AMiRo platform, a line of minirobots developed for research and education that has attracted significant international attention. His research into sound source localisation (2005, 29 citations) demonstrated how robots can actively interact with their environment to determine auditory direction using self-organizing neural networks and reinforcement learning — a meaningful contribution to robot perception. Sitte has also advanced topological SLAM techniques, developing approaches that enable robots to navigate and map environments without relying on odometry data (2009, 16 citations). A recurring theme across his career is the challenge of managing design complexity: his DeCoDe (Demand Compliant Design) methodology offers structured, systematic approaches to robot engineering, detailed across multiple publications. With over 180 cumulative citations and contributions spanning perception, navigation, and design theory, Sitte remains an influential voice in autonomous robotics research and education.