Papers
12
Total Citations
253
H-Index
6
About
Keisuke Sato is a pioneering roboticist whose research bridges foundational motion planning theory and practical assistive robotics. His early work introduced the revolutionary concept of using Laplace's potential field for deadlock-free motion planning (1992, 73 citations), solving the local minima problem that plagued traditional artificial potential field methods—a contribution that remains influential in path planning for mobile robots and manipulators. In the 2000s, Sato advanced planetary exploration robotics through high-fidelity terramechanics simulation for wheeled rovers on deformable terrain (2010, 56 citations) and developed a novel force-sensor array wheel for accurate drawbar pull estimation on sandy surfaces (2009, 43 citations), directly supporting NASA and JAXA rover missions. More recently, he has focused on cooperative step-climbing strategies using autonomous wheelchairs and care robots (2020, 23 citations), creating practical systems that enable wheelchairs to navigate architectural barriers. His work uniquely combines theoretical rigor with real-world impact, from space exploration to assistive technology, earning over 250 total citations and establishing him as a key figure in motion planning and field robotics.
Research Focus
Key Achievements
Top Papers
- 1Deadlock-free motion planning using the Laplace potential field73 citations · 1992
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- 4Global Motion Planning using a Laplacian Potential Field.28 citations · 1993
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- 6Step-Climbing Tactics Using a Mobile Robot Pushing a Hand Cart11 citations · 2018
- 7Autonomous Step Climbing Strategy Using a Wheelchair and Care Robot5 citations · 2019
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- 9Motion Planning for 6 DOF Robot Arm Based on Maze-searching4 citations · 2010
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