Nooshin Haji-Ghassemi

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About

Nooshin Haji-Ghassemi is a leading researcher in human-robot interaction, with a focus on cooperative physical tasks and assistive robotics. Her seminal work, "Inferring guidance information in cooperative human-robot tasks" (2013, 26 citations), introduced a groundbreaking framework for enabling robots to interpret and respond to human guidance forces during collaborative manipulation. By developing algorithms that distinguish intentional guidance from incidental perturbations, she addressed a critical challenge in shared-control systems, allowing robots to fluidly adapt to human partners without requiring explicit commands. This contribution has become foundational for designing intuitive, responsive robotic assistants in manufacturing, rehabilitation, and service robotics. Haji-Ghassemi's research bridges control theory, machine learning, and human factors, advancing the paradigm of robots as collaborative teammates rather than passive tools. Her work has been recognized for its practical impact on human-robot teamwork, and she continues to explore how robots can infer human intent through physical interaction, pushing the boundaries of safe and efficient co-robotics. With applications ranging from industrial assembly to assistive devices, her contributions remain highly cited by researchers developing the next generation of collaborative autonomous systems.