Anzhelika Kolinko

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About

Anzhelika Kolinko is a roboticist whose research lies at the intersection of tactile sensing, manipulation, and autonomous grasping. Her work addresses one of the most difficult challenges in robotics: enabling machines to interact with unstructured piles of objects as dexterously as humans do. In her highly cited 2021 paper, “Multi-Object Grasping – Estimating the Number of Objects in a Robotic Grasp,” Kolinko introduced a novel framework that allows a robot to estimate how many objects it has grasped from a pile using only tactile feedback—before and after lifting. This capability is critical for tasks like warehouse picking, manufacturing, and assistive robotics, where precision and efficiency are paramount. By combining sensor-based prediction with real-world validation, her research pushes the boundaries of what robots can achieve without visual input. With 20 citations and growing recognition, Kolinko’s contributions are shaping the future of intelligent manipulation. Her work not only advances fundamental robotics but also inspires new approaches to multi-object handling, making her a rising voice in the field of autonomous grasping and tactile perception.