Kenichi Iida

National Institute of Technology, Nara College

Papers

Total Citations

H-Index

About

Kenichi Iida is a robotics researcher whose work spans evolutionary robotics, human-robot interaction, and agricultural automation. His most cited paper, "Evolutionary Acquisition for Moving Performance of Reduced D.O.F's Quadruped Robot" (2006, 4 citations), introduces a novel application of genetic algorithms to generate optimal initial poses for a quadruped robot with reduced degrees of freedom. By employing slider-crank mechanisms in each leg, Iida’s design simplifies actuation while maintaining effective locomotion, offering a cost-effective approach to legged robot mobility. In "Identification of Gracefulness Feature Parameters for Hand-Over Motion" (2016, 2 citations), he explores the subtle qualities of human-robot interaction, aiming to make robot movements more natural and aesthetically pleasing during object handovers. More recently, in "Mobile Robot for Environmental Measurement in Greenhouse" (2020, 2 citations), Iida addresses precision agriculture by developing a mobile sensing platform that captures distributed environmental data—such as temperature and humidity—beyond the reach of fixed sensors. This work supports data-driven crop management. Though his citation counts are modest, Iida’s contributions reflect a thoughtful, interdisciplinary approach to robotics, combining mechanical ingenuity with practical applications in agriculture and human-centered design.