Junichiro Ooga
Papers
10
Total Citations
143
H-Index
5
About
Junichiro Ooga is a leading roboticist whose work bridges biomimetic design, intelligent grasping, and automation for manufacturing and logistics. His research centers on soft robotics, dexterous manipulation, and AI-driven grasp planning, with a particular focus on human-like robotic hands and industrial bin-picking. Ooga’s most cited work, “Index Finger of a Human-Like Robotic Hand Using Thin Soft Muscles” (2017, 82 citations), introduces a finger that closely replicates human anatomy using thin McKibben muscles, advancing the field of soft, anthropomorphic robotics. He has also made significant contributions to autonomous grasping, developing deep learning methods for suction graspability (2022, 22 citations) and a multiple-suction-cup vacuum gripper for cluttered scenes (2024, 14 citations). His innovative “One-shot BRDF Imaging” system (2023) enables micro-defect inspection on curved surfaces, addressing labor shortages in Japan. Ooga’s work on probabilistic object search and hybrid-AI grasp planning further demonstrates his commitment to practical, efficient robotic solutions. With over 140 total citations, his research is shaping the next generation of dexterous, intelligent robots for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Index Finger of a Human-Like Robotic Hand Using Thin Soft Muscles82 citations · 2017
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- 5Probabilistic Active Filtering for Object Search in Clutter6 citations · 2019
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- 7An Action Framework for Robots based on Distributed Knowledge Base2 citations · 2008
- 8Hydraulic-and-electric Double-arm Robot2 citations · 2016
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