Ryo Takizawa

Keio University

Papers

3

Total Citations

31

H-Index

3

About

Ryo Takizawa is a pioneering researcher in the field of human-robot interaction, with a specific focus on supernumerary robotic limbs and shared body control. His work centers on enhancing the intuitive operation of wearable robotic arms—additional limbs that augment human capability—by leveraging biological signals and visual feedback. Takizawa’s most influential contribution is the "FaceDrive" system (2019, 21 citations), which innovatively maps the operator’s facial expressions to commands for supernumerary robotic arms, enabling hands-free control for tasks like grasping and releasing. This work addresses a critical challenge in cooperative robotics: predicting user intention without manual input. He further explores the dynamics of shared body control in "Dynamic Shared Limbs" (2021, 4 citations), where he uses EMG sensors to adaptively coordinate actions between multiple operators controlling a single robotic limb, improving performance when their movements diverge. His research on perspective dependency in shared bodies (2019, 6 citations) also examines how visual feedback from a wearable camera affects a third-party operator’s control. Collectively, Takizawa’s work pushes the boundaries of how humans can seamlessly integrate robotic extensions into their physical and collaborative interactions.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
FaceDrive: Facial Expression Driven Operation to Control Virtual Supernumerary Robotic Arms
21 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago