Go Sakayori
Papers
2
Total Citations
33
H-Index
2
About
Go Sakayori is a robotics researcher whose work focuses on the critical challenge of autonomous navigation for wheeled mobile robots in deformable, unstructured terrains. His primary research areas include energy-efficient path planning, traversability modeling, and slip-aware control for planetary exploration rovers. Sakayori’s major contribution is the development of predictive models that link wheel slip to energy consumption and terrain stability, enabling robots to safely and efficiently traverse loose soil and sandy slopes. His most-cited work, “Energy efficient slope traversability planning for mobile robot in loose soil” (2017, 29 citations), introduces a novel trajectory planning method that leverages a power consumption model to minimize energy use during slope ascent. More recently, his 2024 paper on slip rate-dependent traversability modeling (4 citations) advances autonomous operations on planetary surfaces by integrating slip prediction into path planning algorithms, reducing the risk of immobilization. This work is particularly notable for its direct application to planetary exploration rovers, supporting both scientific missions and future manned expeditions. Sakayori’s research bridges robotics, terramechanics, and energy optimization, offering practical solutions for safe and efficient off-road navigation.
Research Focus
Key Achievements
Top Papers
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