Cem Bilaloglu

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About

Cem Bilaloglu’s research sits at the intersection of robotics, control theory, and tactile interaction, with a focus on enabling robots to perform complex, physically interactive tasks autonomously. His key contributions lie in ergodic coverage and exploration—a control framework that ensures a robot’s trajectory statistically matches a desired spatial distribution, making it ideal for tasks like surface inspection, cleaning, and probing. In his 2023 work, “Whole-Body Ergodic Exploration With a Manipulator Using Diffusion,” Bilaloglu introduced a method for whole-body robot exploration that leverages diffusion processes to efficiently cover a region of interest, garnering 6 citations for its novel approach to ergodic control. Building on this, his 2025 paper, “Tactile Ergodic Coverage on Curved Surfaces,” presents a feedback control method for tactile coverage tasks on non-planar surfaces, using camera feedback to measure coverage progress despite the challenges of continuous physical contact. This work, with 5 citations, advances practical applications in automated cleaning and inspection. Bilaloglu’s research is notable for bridging theoretical control methods with real-world robotic manipulation, offering scalable solutions for tasks that require both precision and adaptability.