Laksono Budi Prianggodo

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About

Laksono Budi Prianggodo is a researcher specializing in robotics, computer vision, and embedded systems, with a particular focus on the intersection of image processing and autonomous robot control. His work centers on developing intelligent robotic systems capable of perceiving and responding to their environment in real time. Among his most recognized contributions is his 2016 research on designing an object tracking robot powered by a Raspberry Pi, which has garnered 11 citations and stands as his most influential work to date. This study demonstrated how complex computer vision algorithms could be implemented on compact, affordable hardware to enable robots to detect and follow moving objects autonomously. Complementing this, his concurrent work on wheeled robot design using object tracking as a motion control foundation — cited 3 times — further advanced practical methodologies for translating visual data into precise robotic movement by analyzing object parameters in real time. Prianggodo's research is particularly valuable for students and engineers exploring low-cost, accessible approaches to autonomous robotics. By combining image processing techniques with embedded computing platforms, his contributions have helped bridge the gap between theoretical computer vision concepts and tangible, deployable robotic applications, making meaningful strides in the field of intelligent mobile robotics.