Kenta Tabata
Papers
6
Total Citations
21
H-Index
3
About
Kenta Tabata is a robotics researcher whose work pushes the boundaries of how robots interact with the physical world, particularly through the dynamic manipulation of flexible and unknown objects. His core research areas include robotic manipulation, flexible object control, and sensor integration. Tabata’s major contributions lie in developing methods for robots to handle strings and cables with unknown physical properties in real time. His 2020 paper on dynamic string manipulation, which uses a mass-spring-damper model and iterative parameter estimation, has garnered 7 citations and laid the groundwork for subsequent studies on swing and casting manipulation. These works enable robots to perform tasks like throwing a string to a distant target without prior knowledge of the material, expanding their operational range. Beyond flexible objects, Tabata has contributed to assembly systems by integrating force and vision feedback, as seen in his 2023 paper on the World Robot Summit challenge. His more recent work explores robot localization using WiFi signals and biomimetic design, including a robotic dolphin with a multi-link body. With a growing citation record and a diverse portfolio, Tabata is establishing himself as an innovator in adaptive and dexterous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Casting manipulation of unknown string by robot arm4 citations · 2021
- 4Integrating force and vision feedback for flexible assembly system3 citations · 2023
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