Mohsen Amiri
Papers
1
Total Citations
1
H-Index
1
About
Mohsen Amiri is a robotics researcher whose work centers on safe human-robot interaction, with a particular focus on planning algorithms that account for realistic human behaviors. His most-cited paper, "Safe and Efficient Robot Action Planning in the Presence of Unconcerned Humans" (2025), introduces a novel predictive planning scheme designed for scenarios where humans are either unaware of a robot’s presence or unwilling to actively cooperate in ensuring safety. This work directly addresses a critical gap in the field—moving beyond idealized, cooperative human models to handle the unpredictability of real-world interactions. By proposing a method that is both probabilistically safe and computationally efficient, Amiri’s research has immediate implications for deploying autonomous robots in public spaces, warehouses, or healthcare settings. With 1 citation already in its publication year, this foundational paper is poised to influence subsequent work in safe motion planning. Amiri’s contributions are particularly valuable for students and researchers seeking to bridge the gap between theoretical safety guarantees and practical, human-aware robot navigation.
Research Focus
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Top Papers
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