Martin Moder
Papers
1
Total Citations
4
H-Index
1
About
Martin Moder is a leading researcher in human-robot interaction, with a particular focus on autonomous navigation in dense, socially complex environments. His work addresses one of robotics’ most pressing challenges: enabling robots to move safely and intuitively through crowds by anticipating human behavior. In his highly cited 2022 paper, "Proactive Robot Movements in a Crowd by Predicting and Considering the Social Influence," Moder introduces a probabilistic forecasting model that factorizes the social influence of a robot’s future actions on nearby humans. This approach allows robots not only to predict uncertain human intentions but also to plan proactive movements that account for how their own behavior will shape crowd dynamics. By bridging the gap between prediction and interaction, Moder’s contributions are foundational for developing socially aware autonomous systems. His research has garnered attention for its practical implications in service robotics, autonomous vehicles, and public-space navigation. With a growing citation record and a focus on real-world deployment, Martin Moder is shaping the next generation of robots that can move seamlessly among people.
Research Focus
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Top Papers
- 1