Papers
157
Total Citations
4,873
H-Index
36
About
Goldie Nejat is a pioneering robotics researcher whose work spans two transformative domains: socially assistive robotics and autonomous search and rescue systems. A professor at the University of Toronto, Nejat has dedicated her career to developing robots that meaningfully improve human lives — whether by aiding vulnerable populations or saving lives in disaster scenarios. Her contributions to socially assistive robotics have reshaped how we think about elder care technology. With highly cited studies on older adults' acceptance of human-like robots (176 citations) and real-world deployments at long-term care facilities (129 citations), she demonstrated that robots can meaningfully support cognitive and social well-being in aging populations. Her multimodal emotional human-robot interaction architecture (112 citations) further advances naturalistic, affective communication between humans and machines. Equally influential is her rescue robotics research. Her 2019 deep reinforcement learning framework for urban search and rescue environments garnered 375 citations, while her broader surveys on robotic USAR (268 citations) and multirobot cooperative learning systems have become foundational references in the field. Collectively, Nejat's body of work — exceeding 1,900 citations across her top papers alone — bridges artificial intelligence, human-robot interaction, and real-world humanitarian application, establishing her as one of robotics' most impactful contemporary voices.
Research Focus
Key Achievements
Top Papers
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- 3Robotic Urban Search and Rescue: A Survey from the Control Perspective268 citations · 2013
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- 7A Multirobot Path-Planning Strategy for Autonomous Wilderness Search and Rescue122 citations · 2014
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