Misbah Javaid

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About

Misbah Javaid is a robotics researcher whose work focuses on the critical intersection of human-robot interaction and trust-building in collaborative systems. Her primary research areas include humanoid robotics, explainable artificial intelligence (XAI), and knowledge-based autonomous agents. Javaid’s most significant contribution is her pioneering investigation into how robotic partners can foster human trust through transparent decision-making. Her highly cited 2021 paper, "Explanations from a Robotic Partner Build Trust on the Robot’s Decisions for Collaborative Human-Humanoid Interaction" (13 citations), demonstrates that equipping robots with explanation capabilities can mitigate human apprehension and dramatically improve team effectiveness. This work addresses a fundamental barrier to real-world human-robot collaboration. Additionally, her 2019 study "Knowledge-Based Robotic Agent as a Game Player" (2 citations) explores the design of autonomous agents that leverage structured knowledge to make strategic decisions. Javaid’s research is particularly relevant for students and engineers developing collaborative robots for healthcare, manufacturing, and service industries, as it provides a practical framework for designing machines that are not only capable but also trustworthy partners.