Takuma Akiduki
Papers
3
Total Citations
13
H-Index
2
About
Takuma Akiduki is a pioneering researcher at the intersection of robotics and therapeutic healthcare, specializing in the development of intelligent massage robots. His work addresses the critical shortage of massage therapists and the physical strain of the profession by engineering robotic systems that replicate human-like manual therapy. Akiduki’s major contributions include the analysis of finger pressing motions and muscle reaction forces to create robots that can assess muscle fatigue and adapt their techniques in real time, mimicking expert decision-making. His most cited paper (2020, 6 citations) lays the groundwork for a massage robot that responds to muscle condition, while his 2023 study (5 citations) advances control design by decoding therapist force information. Notably, his exploratory virtual environment research (2020, 2 citations) investigates how robot motion and hand shape influence social perception, a key step toward user acceptance. By bridging biomechanics, haptics, and human-robot interaction, Akiduki is shaping a future where automated therapeutic touch is both effective and socially comfortable, with implications for sports medicine, rehabilitation, and wellness technology.
Research Focus
Key Achievements
Top Papers
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