Enes Cansu

Papers

Total Citations

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About

Enes Cansu is an emerging researcher in robotics and artificial intelligence, with a primary focus on human-robot interaction and autonomous navigation. His most notable contribution is the development of an autonomous human-following robot based on the "Follow the Gap Method," a novel approach that enhances safety and reliability in dynamic environments. This work, published in 2023, has already garnered 5 citations, demonstrating its early impact in the field. Cansu's research addresses critical challenges in human detection, path planning, and real-time obstacle avoidance, making robots more adaptable for applications in healthcare, logistics, and assistive technologies. His innovative use of the Follow the Gap Method sets his work apart, offering a computationally efficient solution for safe human-robot collaboration. As a rising voice in robotics, Cansu is contributing to the next generation of autonomous systems that can seamlessly integrate into human-centered environments. His work is particularly relevant for students and researchers interested in practical, real-world applications of AI and robotics.