Ivan Danilov

Papers

Total Citations

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About

Ivan Danilov is a robotics researcher whose work sits at the intersection of haptics, human-machine interaction, and collaborative robotics. His primary focus is on developing bidirectional communication systems that enable intuitive, gesture-based control of robotic platforms, while simultaneously providing sensory feedback—particularly tactile and haptic—to the human operator. Danilov’s most cited work, “Tactile sensing with gesture-controlled collaborative robot” (2020), introduces a system that achieves multisensory telepresence, allowing operators to feel what a robot “feels” during remote control. This research has direct applications in industrial automation, tele-medicine, and search-and-rescue operations, where smooth, safe human-robot collaboration is critical. His earlier papers on robot-assisted 3D medical sonography and neuromorphic haptic feedback further demonstrate his commitment to merging sensing, control, and feedback into seamless interfaces. Though his citation counts are modest (10 for his top paper), Danilov’s contributions are foundational to the emerging field of collaborative robotics with sensory immersion, and his work is particularly relevant for researchers exploring teleoperation, assistive robotics, and human-centered automation.