Shahinul Hoque
Papers
1
Total Citations
2
H-Index
1
About
Shahinul Hoque is a forward-thinking researcher at the intersection of robotics, artificial intelligence, and human-robot interaction (HRI), with a particular focus on deploying robotic systems in high-stakes environments. His work critically examines the persistent gap between advanced robotic capabilities and their limited real-world adoption, especially in disaster response and rescue operations. In his highly cited 2024 paper, "HRI Challenges Influencing Low Usage of Robotic Systems in Disaster Response and Rescue Operations," Hoque identifies key barriers—from trust and communication failures to operational complexity—that prevent sophisticated AI-driven robots from being effectively utilized when lives are on the line. By synthesizing breakthroughs in machine learning with practical HRI constraints, he provides a roadmap for designing more intuitive, reliable, and resilient robotic systems. Hoque’s contributions are vital for bridging the divide between laboratory innovation and field deployment, ensuring that future rescue robots are not only technologically advanced but also seamlessly integrated into human-led teams. His work has already garnered attention for its timely relevance, offering actionable insights for engineers, emergency planners, and AI researchers striving to make robotic assistance a dependable reality in crisis scenarios.
Research Focus
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Top Papers
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