Maxime Robin

Innodura (France)

Papers

1

Total Citations

35

H-Index

1

About

Maxime Robin is a leading researcher in the field of cooperative robotics and real-time localization, with a primary focus on wearable and multi-agent SLAM (Simultaneous Localization and Mapping) systems. His most cited work, "WeCo-SLAM: Wearable Cooperative SLAM System for Real-Time Indoor Localization Under Challenging Conditions" (2021, 35 citations), addresses a critical bottleneck in autonomous navigation: maintaining globally consistent GPS tracking during indoor/outdoor transitions and other signal-degraded environments. Robin’s major contribution lies in developing a wearable, cooperative framework that enables multiple agents—whether human operators or robots—to share sensor data and maintain accurate localization even when individual GPS signals are partially or entirely unavailable. This innovation has direct implications for multi-robot mapping, search-and-rescue operations, and augmented reality applications. By demonstrating robust performance under challenging conditions, Robin’s work has been recognized as a practical step toward reliable, real-world deployment of autonomous systems. His research continues to push the boundaries of resilient localization, making him a notable figure in the robotics and computer vision communities.

Research Focus

Key Achievements

1
H-Index
1
Papers
35
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
WeCo-SLAM: Wearable Cooperative SLAM System for Real-Time Indoor Localization Under Challenging Conditions
35 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Innodura (France)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago