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About

Harianto Harianto is an Indonesian robotics researcher whose work centers on mobile robotics, computer vision, and intelligent sensing systems. His research has made meaningful contributions to the development of autonomous and semi-autonomous robotic platforms, particularly through the integration of advanced sensory and perception technologies. Among his most recognized contributions is his implementation of an electronic nose system within an omni-directional robot, enabling machines to detect and identify chemical compounds in ambient odors — work that has garnered 10 citations. His investigations into webcam-based computer vision allowed mobile robots to autonomously detect objects by shape and color, reflecting his strong interest in practical, sensor-driven robotics. Harianto has also explored gesture-based robot control, fire-fighting robotics using image processing and flame sensors, and multi-robot formation control with obstacle avoidance through trajectory planning. Much of his work builds upon the Festo Robotino omni-directional platform, demonstrating a consistent focus on translating theoretical concepts into deployable robotic applications. With a cumulative citation count of 24 across his key publications, his research offers valuable foundational insights for students and engineers working at the intersection of autonomous systems, embedded sensing, and real-world robot deployment.