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About

Dr. Akin Tatoglu is a robotics researcher whose work bridges perception, control, and humanoid platform design. His primary research areas include non-line-of-sight sensing, autonomous aerial systems, and robotic manipulation. Dr. Tatoglu’s most notable contribution is his feasibility study on audio-visual based non-line-of-sight sound source localization (19 citations), which explores how robots can perceive and locate sounds beyond their direct line of sight—a critical capability for search-and-rescue and surveillance applications. He has also advanced adaptive control strategies for Unmanned Aerial Vehicles (UAVs), developing a gimbal control approach that balances power consumption with landmark tracking quality. In the domain of humanoid robotics, Dr. Tatoglu contributed to the development of the Kinematic Adjustable Humanoid Platform, focusing on its driving capability and kinematic design. His work on fuzzy logic controllers for robotic arms demonstrates his interest in intelligent, adaptive control systems. With a portfolio spanning from sensor fusion to platform development, Dr. Tatoglu’s research continues to push the boundaries of autonomous systems, making him a valuable contributor to the fields of robotics and intelligent control.