Daiki Mori

Keio University, Toyota Central Research and Development Laboratories (Japan), Bandung Institute of Technology

Papers

Total Citations

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About

Daiki Mori is a robotics and autonomous systems researcher whose work bridges the gap between precision manipulation and real-world sensing challenges. His research focuses on three key areas: robotic arm design and control, autonomous vehicle state estimation, and soil sampling for planetary exploration. In his 2015 paper on generalized force-and-energy manipulability, Mori introduced a novel framework for designing and controlling redundant robotic arms, specifically targeting the extreme conditions of Martian subsurface exploration—where robots must dig to significant depths and collect uncontaminated samples for microbial analysis. His 2015 work on excavation modeling using particle image velocimetry (17 citations) provides critical insights into soil-sampling device dynamics. More recently, Mori tackled the complex problem of sensor fusion in autonomous systems, developing a Gaussian Process-based Moving Horizon Estimation method (2020, 8 citations) that simultaneously estimates vehicle position and compensates for data delays and time synchronization errors across heterogeneous sensors. This work directly addresses the challenge of maintaining reliable autonomy under varying weather and geographical conditions. Mori’s contributions are particularly notable for their practical relevance to space robotics and autonomous driving, where sensor reliability is paramount.