Yuki Murata

Osaka Electro-Communication University, Soka University

Papers

Total Citations

H-Index

About

Yuki Murata’s research bridges the physical and the virtual, focusing on robotics, haptics, and intelligent systems. His key contributions span two distinct areas: modeling visco-elastic objects for robotic manipulation and advancing person re-identification for mobile robots. In his most cited work (2005, 12 citations), Murata developed a smart rheologic MSD model that accurately simulates the behavior of real-world visco-elastic objects under impulse forces. This model is critical for enabling robots to manipulate such objects or for creating realistic haptic feedback in virtual environments—a foundational contribution to soft robotics and haptic interfaces. Earlier, he tackled robot parameter identification (2003, 3 citations), proposing a method to construct virtual manipulators equivalent to real ones by combining classic calibration algorithms with error-absorbing trees, enhancing simulation fidelity. More recently, Murata addressed person re-identification for mobile robots (2018, 3 citations), using online transfer learning to match individuals across non-overlapping camera views—a practical solution for security and monitoring in commercial spaces. Though his citation counts are modest, Murata’s work demonstrates a consistent focus on bridging simulation and reality, with applications in haptics, robotics calibration, and autonomous surveillance.