Berkay Gokcen

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About

Berkay Gokcen is a robotics researcher whose work bridges perception, control, and multi-robot systems. His primary research areas include Simultaneous Localization and Mapping (SLAM), particularly in dynamic environments, and multi-robot control via mobile interfaces. Gokcen’s most notable contribution is his work on "Object Aware RGBD SLAM in Dynamic Environments" (2022), which addresses a critical limitation of traditional SLAM—its reliance on static surroundings. By integrating object-level awareness into the probabilistic SLAM framework, his approach enables robust mapping and localization even when moving objects are present, a key challenge for real-world autonomous navigation. This paper has garnered 8 citations, reflecting its relevance to the growing field of dynamic SLAM. Additionally, Gokcen developed an "Android application for simultaneously control of multiple land robots which have different drive strategy" (2017, 5 citations), demonstrating a cost-effective solution for multi-robot teleoperation. By publishing a single ROS message from an Android device, his system eliminates the need for expensive, dedicated remote controls, making multi-robot coordination more accessible. These contributions highlight Gokcen’s focus on practical, scalable solutions for autonomous systems, from perception in cluttered environments to intuitive multi-robot control.