Mohammad Sobhani
University of the West of England, Bristol Robotics Laboratory
Papers
2
Total Citations
40
H-Index
2
About
Mohammad Sobhani is a researcher at the forefront of safety and adaptive behaviour in autonomous robotics. His work primarily addresses two critical challenges: systematic hazard analysis for mobile robots and the development of socially-aware robots capable of operating in high-stakes environments. Sobhani’s most cited paper, "Environmental Hazard Analysis - a Variant of Preliminary Hazard Analysis for Autonomous Mobile Robots" (2014, 34 citations), introduces a foundational framework for identifying and mitigating risks specific to autonomous navigation, a contribution that has informed safety protocols in the field. Building on this, his work "Towards model-based robot behaviour adaptation" (2015) explores how robots can successfully collaborate with humans during tense and stressful situations, such as search and rescue missions. By proposing that robots must be equipped with embodied models of both human behaviour and their environment, Sobhani advances the goal of creating machines that can dynamically adjust their actions to ensure effective teamwork under pressure. His research is pivotal for the next generation of resilient, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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