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Raashid Malik is a pioneering researcher in autonomous mobile robotics, whose work in the late 1980s and early 1990s laid foundational groundwork for robot navigation, self-localization, and sensor fusion in unknown environments. His key research areas include mobile robot navigation, position estimation, and multi-sensor integration. Malik’s most cited paper, "Aimy: An autonomous mobile robot navigation in unknown environment with infrared detector system" (1995, 12 citations), introduced a practical system for navigating without prior maps, demonstrating early use of infrared sensors for obstacle avoidance. His 1991 paper on "Robot self-location based on corner detection" (5 citations) presented a decision-theoretic method for establishing robot position using visual data, extracting boundaries from light intensity variations—a novel approach at the time. In "Position reference for autonomous mobile robots" (1990, 3 citations) and "Morphological technique for combination of sensor readings" (1990, 2 citations), Malik advanced methods for reducing positional uncertainty by fusing data from multiple sensors, a critical challenge in robotics. His work on "Robot location densities" (1991, 2 citations) further formalized uncertainty propagation using probability density functions. Though his citation counts are modest by modern standards, Malik’s contributions were early and influential in shaping how robots perceive and navigate unknown spaces, making him a notable figure in the pre-SLAM era of robotics research.