Artur Shafikov

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About

Artur Shafikov is a robotics researcher whose work bridges the critical gap between autonomous systems and human-centered medical applications. His primary research areas include medical robotics, haptic feedback systems, and human-robot interaction, with a particular focus on automating complex manual procedures. Shafikov’s most significant contribution lies in the development of autonomous robotic systems for medical palpation, a traditionally subjective diagnostic task that relies heavily on a doctor’s experience. By modeling and simulating these procedures in ROS/Gazebo, he has demonstrated how robotized approaches can offer more reliable, objective, and repeatable outcomes—work that has garnered 11 citations and laid the foundation for future clinical automation. Beyond medical robotics, Shafikov has explored the intersection of robotics and psychology through the design of “Emotico,” an emotional social robot that models four basic emotions using dopamine and serotonin subsystems. This 2019 work, with 6 citations, showcases his versatility in creating robots that can engage with humans on an emotional level. His research not only advances technical capabilities in simulation and control but also addresses real-world challenges in healthcare and social robotics, making him a promising voice in the next generation of roboticists.