Atsushi Hagiwara

Mie University

Papers

2

Total Citations

20

H-Index

2

About

Atsushi Hagiwara’s research focuses on human-robot interaction, specifically on mitigating psychological threat during robotic motion. His major contribution lies in developing “previous notice methods” that communicate a robot arm’s intended trajectory to nearby humans before movement begins. This proactive communication reduces fear and discomfort, addressing a critical barrier to safe, comfortable coexistence between humans and robots in shared spaces like medical and welfare settings. His foundational 2003 paper, “Previous Notice Method of Robotic Arm Motion for Suppressing Threat to Human,” has garnered 16 citations, establishing a basis for trust-aware robotics. He extended this work in 2004 to three-dimensional motion, using an LED marker coordinate frame to announce endpoint positions. While his citation counts are modest, his work is notable for its early, human-centered approach to robot motion planning—a precursor to today’s research on legible and predictable robot behavior. Hagiwara’s emphasis on psychological safety over mere physical safety marks a thoughtful, user-focused contribution to the field of collaborative robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Previous Notice Method of Robotic Arm Motion for Suppressing Threat to Human-Announcement in Moving of the Arm-
16 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Mie University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago