Yuzuka Isobe
Papers
7
Total Citations
45
H-Index
3
About
Yuzuka Isobe’s research lies at the intersection of robotic vision, autonomous tracking, and dexterous manipulation. Her early work established robust methods for human-following mobile robots using stereo cameras, tackling the persistent challenges of illumination changes and occlusion. Her 2018 paper on occlusion handling for target-tracking robots (19 citations) and her foundational 2014 work on combining disparity and color images (11 citations) remain influential references in the field. More recently, Isobe has advanced robotic in-hand manipulation, developing vision-based systems that enable robotic hands to rotate and reposition variously shaped objects without dropping them. Her 2023 paper on contact point prediction and her work on active-surface grippers represent significant steps toward practical, sensor-free manipulation. She has also explored soft robotics, including pre-touch deformation estimation for soft grippers (2025) and visual feedback control of underactuated hands for grasping brittle foods (2024). With a growing portfolio that bridges robust visual tracking and delicate object handling, Isobe’s contributions are shaping the next generation of adaptive, vision-guided robots capable of operating reliably in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Occlusion handling for a target-tracking robot with a stereo camera19 citations · 2018
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