Bertrand Duqueroie
Papers
2
Total Citations
7
H-Index
2
About
Bertrand Duqueroie is a researcher at the forefront of human-robot interaction, specializing in socially-aware navigation and safety for collaborative industrial environments. His work addresses the critical challenge of enabling mobile robots to operate safely and intuitively alongside human workers in shared spaces, moving beyond traditional segregated zones. Duqueroie’s key contributions include developing graph network-based models for predicting human movement, allowing robots to anticipate and adapt to human trajectories in real time. This predictive capability is central to his approach for safer, more efficient path planning, particularly in complex settings with multiple robots. His most-cited paper, “Graph network-based human movement prediction for socially-aware robot navigation in shared workspaces” (2024, 4 citations), introduces a novel framework for integrating human motion forecasting into robot decision-making. His earlier work, “Anticipating human presence for safer worker-robot shared workspaces” (2023, 3 citations), further explores safety primitives and fleet coordination. Though early in his career, Duqueroie’s research is already shaping the future of human-robot coexistence, with potential applications in manufacturing, logistics, and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2Anticipating human presence for safer worker - robot shared workspaces3 citations · 2023