Guido Dias Kalandro

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About

Guido Dias Kalandro is a robotics researcher focused on human-robot interaction, particularly through gesture-based control systems. His work centers on developing intuitive interfaces that allow operators to control robotic systems using natural hand and finger movements, bridging the gap between human intent and machine action. Kalandro’s most cited work, "Design of a gripping imitator robotic arm for taking an object" (2016, 6 citations), presents a remote-controlled robotic arm that mimics human hand movements to grip objects, enabling operation in hazardous or inaccessible environments. He further advanced this concept in "Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan" (2018, 4 citations), where he used image processing to recognize finger gestures for controlling robotic arm joints. His research on non-holonomic mobile robots (2020, 2 citations) demonstrates gesture-based control for multidirectional movement, expanding the potential for remote operation in complex terrains. Though his citation counts are modest, Kalandro’s contributions are significant for developing accessible, low-cost control methods that enhance safety in dangerous tasks. His work represents a practical step toward more natural human-robot collaboration, with applications in search-and-rescue, industrial automation, and assistive technologies.