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About

Kohei Ikeda is a researcher whose work bridges autonomous robotics and socially assistive technology, with a focus on enhancing human-robot interaction in care settings. His early contributions include a pioneering 2003 paper on environmental support for mobile robots using visual marks with memory storage, which addresses fundamental challenges in robot sensing and self-positioning. This foundational work, cited 19 times, demonstrates his long-standing interest in enabling robots to navigate and interact with their environments more effectively. More recently, Ikeda has shifted his focus to socially assistive robots (SARs) for elderly care, particularly for individuals with dementia. His 2021 study on mobile SARs incorporating approach behavior (APB) in a nursing home, cited 5 times, provides critical insights into designing robots that can initiate and sustain meaningful dialogue with seniors. Complementing this, his 2020 work on approaching behavior analysis for communication robots in nursing homes, with 3 citations, further refines the requirements for successful human-robot interaction. Ikeda’s research is notable for its practical application in real-world care environments, offering a blueprint for robots that are both technically robust and socially responsive, making him a key contributor to the evolving field of assistive robotics.