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About

Alfin Junaedy is a robotics and intelligent systems researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and robot perception. His research addresses practical engineering challenges across diverse robotic platforms, from agricultural robots to mobile ground robots and aerial quadcopters. Junaedy's early influential work applied particle swarm optimization to coconut detection for an agricultural plucking robot, tackling the real-world safety hazards faced by workers who manually climb coconut trees — a paper that has garnered 10 citations. He subsequently directed his focus toward mobile robotics and communication systems, making notable contributions in LPWAN-based teleoperation, demonstrating how LoRa long-range communication can support real-time SLAM in environments where conventional wireless networks fail — work cited 8 and 5 times respectively. His research further extends to 3D mapping on resource-constrained hardware, plane extraction for embedded computers, and topological mapping on quadcopters using fast-growing neural gas algorithms, reflecting a consistent drive to bring sophisticated perception capabilities to low-cost, low-power platforms. With a cumulative citation count of 31 across six publications, Junaedy represents an emerging voice in practical robotics research, particularly valuable to students interested in autonomous systems, search-and-rescue robotics, and efficient mapping under real-world computational constraints.