Shinya Takamuku
Papers
8
Total Citations
194
H-Index
7
About
Shinya Takamuku is a pioneering researcher in embodied intelligence and human-robot interaction, whose work bridges robotics, cognitive science, and material perception. His research focuses on how anthropomorphic robotic systems—particularly muscular-skeletal upper limbs and soft fingers—can replicate human haptic and tactile abilities to understand and interact with the world. His major contributions include developing robotic hands capable of discriminating material properties through touch and thermal sensing, as demonstrated in his highly cited 2007 paper (66 citations) and his 2008 work on robust material discrimination (32 citations). He also advanced the concept of "dynamic touch" for object category acquisition, showing how shaking and other behaviors enable robots to learn object categories without complex control (25 citations). His 2012 paper on an anthropomorphic robotic upper limb (39 citations) exemplifies his impact, showcasing soft interaction for tasks like adaptive door opening. With over 190 total citations, Takamuku’s work has been instrumental in demonstrating that physical interaction—not just computation—is key to developing intelligent, human-like robots, making his research essential for students exploring embodied cognition and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1Haptic discrimination of material properties by a robotic hand66 citations · 2007
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- 4Object Category Acquisition by Dynamic Touch25 citations · 2008
- 5Lexicon acquisition based on object-oriented behavior learning11 citations · 2006
- 6Multi-method learning and assimilation10 citations · 2007
- 7Shaking eases Object Category Acquisition: Experiments with a Robot Arm9 citations · 2007
- 8Lexicon Acquisition based on Behavior Learning2 citations · 2005