Takayoshi Hagiwara

Keio University, Toyohashi University of Technology

Papers

4

Total Citations

42

H-Index

4

About

Takayoshi Hagiwara is pioneering the future of human-machine collaboration through his groundbreaking work on **shared avatar control and collective human expertise**. His research fundamentally reimagines how multiple people can jointly operate a single robotic body, creating a new paradigm where two users are integrated into one robot arm to collaborate seamlessly. In his most-cited work (2021, 18 citations), Hagiwara developed a collaborative avatar platform that divides control roles between users, enabling flexible movements that transcend the natural limitations of a single human arm's range and rotational freedom. He further advanced this concept by incorporating **vibrotactile feedback** (2022, 15 citations) to enhance body integration and sensorimotor control sharing, allowing multiple operators to intuitively feel and coordinate their actions through a 7-DoF robotic arm. Hagiwara has also explored the social dynamics of this technology, investigating how partners recognize each other during collaborative avatar manipulation (2024, 5 citations) and developing adaptive shared body control methods using EMG sensors (2021, 4 citations) to improve coordination when operators perform different actions. His work sits at the exciting intersection of robotics, haptics, and human-computer interaction, with profound implications for remote collaboration, assistive technology, and collective problem-solving.

Research Focus

Key Achievements

4
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Avatar Platform for Collective Human Expertise
18 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Keio University, Toyohashi University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago