Ahmad Abdul Karim

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About

Ahmad Abdul Karim is a researcher whose work sits at the compelling intersection of robotics, virtual reality, and procedural animation, with a focus on making artificial movement feel more natural and lifelike. His key research areas include human-robot interaction, perception of motion, and procedural generation of locomotion. In his most cited work, "Determining the Important Subjective Criteria in the Perception of Human-Like Robot Movements Using Virtual Reality" (2015, 15 citations), Karim pioneered a method for evaluating what makes robot movements appear human-like, identifying critical criteria such as base inertia, end-effector inertia, and velocity profiles. This work provides a valuable framework for designing more socially acceptable robots. His earlier contribution, "Procedural locomotion of multilegged characters in dynamic environments" (2012, 12 citations), introduced a fully procedural system capable of generating real-time, diverse gaits for multilegged characters without relying on pre-recorded motion data. This innovation is particularly significant for gaming and simulation, enabling adaptive, realistic movement in unpredictable virtual worlds. By bridging subjective human perception with algorithmic motion generation, Karim’s research offers foundational insights for both roboticists and animators seeking to create more believable and engaging artificial beings.