Aleksei Evlampev

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About

Aleksei Evlampev is a robotics researcher whose work focuses on the intersection of human-robot interaction and advanced perception systems. His primary research areas include robotic manipulation, obstacle avoidance, and the application of mixed reality technologies to industrial automation. Evlampev’s most notable contribution is his pioneering approach to integrating mixed reality glasses with robotic manipulators, allowing operators to visualize and navigate complex environments in real time. His 2019 paper, "Obstacle avoidance for robotic manipulator using Mixed reality glasses," introduced a novel method that leverages the spatial mapping capabilities of mixed reality headsets to continuously update obstacle data, enabling safer and more efficient path planning for robotic arms. While his citation count is still growing—with this work accumulating 3 citations—its significance lies in its practical application of consumer-grade mixed reality hardware to solve longstanding challenges in industrial robotics. Evlampev’s research bridges the gap between virtual interfaces and physical robotic control, offering a tangible solution for reducing collision risks in dynamic workspaces. His work is particularly relevant for researchers exploring intuitive human-robot collaboration and the use of augmented reality in manufacturing.