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About

Oleg Sautenkov is an emerging researcher at the intersection of robotics, human-robot interaction, and artificial intelligence, with particular expertise in augmented reality interfaces, computer vision, and autonomous aerial systems. His work addresses a central challenge in modern robotics: enabling intuitive, safe, and effective communication between humans and machines across diverse operational contexts. Sautenkov's most influential contribution, UAV-VLA (2025, 22 citations), exemplifies his forward-thinking approach by integrating satellite imagery, Vision-Language Models, and GPT to enable natural-language-driven aerial mission planning — a significant step toward accessible autonomous drone operation. His earlier CobotAR system (2021, 13 citations) demonstrated a wearable-free augmented reality platform for multi-user human-robot collaboration using gesture recognition, challenging the assumption that AR-based robotics interfaces require specialized hardware. Beyond interaction design, his research extends into haptic feedback for telemanipulation, CNN-driven gesture interfaces for EV charging automation, and safety-aware collaborative robotics through haptic potential fields. Together, these works reflect a cohesive vision: making robotic systems more responsive, safer, and genuinely usable. With nearly 45 cumulative citations across a concise but growing body of work, Sautenkov represents a promising voice in next-generation human-robot interaction research.