Mario Kusuma

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About

Mario Kusuma is a leading researcher in autonomous robotics and intelligent path planning, with a focus on humanoid robots designed for domestic assistance. His most-cited work, "Humanoid Robot Path Planning and Rerouting Using A-Star Search Algorithm" (2019, 36 citations), introduces a novel application of the A* search algorithm to enable humanoid robots to navigate dynamic indoor environments. Kusuma’s key contribution lies in integrating real-time rerouting capabilities, allowing robots to adapt to obstacles while efficiently executing user commands—such as retrieving objects from specific locations. This work has been foundational for advancing home-assistant robotics, bridging the gap between theoretical pathfinding and practical deployment. Beyond this paper, Kusuma’s research explores sensor fusion, obstacle avoidance, and human-robot interaction, with his publications collectively cited over 150 times. His achievements include developing a prototype humanoid system that autonomously maps environments and executes complex tasks, earning recognition at international robotics conferences. For students and researchers, Kusuma’s work exemplifies how classical algorithms can be reimagined for real-world robotic autonomy, offering a blueprint for creating responsive, intelligent home assistants.