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About

Kusprasapta Mutijarsa is a leading researcher in autonomous robotics, specializing in robot soccer systems, multi-robot coordination, and computer vision for mobile platforms. His work has fundamentally advanced how robots perceive and interact with dynamic environments, particularly in the competitive RoboCup leagues. His most impactful contribution is the development of real-time object detection and tracking algorithms, as demonstrated in his highly cited paper on color-based segmentation for ball and goal post detection (23 citations). This foundational work enables mobile soccer robots to identify critical game elements with speed and accuracy. Mutijarsa has also made significant strides in locomotion, proposing a simple yet effective terrain adaptation gait algorithm for hexapod robots (15 citations), which allows six-legged robots to navigate uneven terrain using tactile sensors. Beyond perception and movement, he has designed integrated actuator systems for wheeled soccer robots—combining movement, dribbling, and kicking mechanisms (12 citations)—and developed behavioral-based control architectures using the Active Object Computing Model (8 citations). His research extends into crowd simulation, exploring the propagation of psychological variables in group behavior (6 citations). With over 80 total citations across his most-cited works, Mutijarsa’s contributions are essential reading for anyone interested in autonomous robotics, computer vision, and multi-agent coordination.