Madoka Inoue

Rakuten (Japan)

Papers

1

Total Citations

5

H-Index

1

About

Madoka Inoue is a researcher at the intersection of autonomous systems and human-robot interaction, with a primary focus on enhancing pedestrian safety and trust in urban environments. Her most cited work, "Improving Pedestrian Safety around Autonomous Delivery Robots in Real Environment with Augmented Reality" (2022), addresses a critical challenge in the deployment of autonomous delivery robots (ADRs). Inoue proposed a novel approach using Augmented Reality (AR) to display real-time information from ADRs—such as intended paths and stopping behaviors—directly to pedestrians. This innovation aims to reduce pedestrian anxiety and improve situational awareness, bridging the gap between robotic intent and human perception. While her citation count is modest, her work represents a forward-looking contribution to human-robot interaction, particularly as ADRs become more common in public spaces. Inoue’s research is notable for its practical, real-world testing and its potential to shape safety standards for autonomous vehicles. Her achievements highlight a commitment to designing technology that is not only functional but also socially considerate, making her a rising voice in the field of autonomous systems and urban robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Improving Pedestrian Safety around Autonomous Delivery Robots in Real Environment with Augmented Reality
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Rakuten (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago