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Total Citations
71
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About
Mark Neerincx is a leading researcher in human-robot interaction and cognitive engineering, with a focus on developing intelligent systems that support humans in complex, high-stakes environments. His most-cited work, the TRADR Project (2015, 71 citations), exemplifies his major contribution: pioneering long-term human-robot teaming for disaster response. Neerincx’s research integrates artificial intelligence, robotics, and cognitive science to design robots that can adapt to dynamic situations, maintain situational awareness, and collaborate effectively with human first responders over extended periods. This work has not only advanced the theoretical understanding of human-robot trust and teamwork but also produced practical frameworks for deploying robots in real-world emergencies, such as search-and-rescue missions. Beyond TRADR, Neerincx has made significant contributions to personalized support systems in healthcare and education, emphasizing user-centered design and ethical AI. His impact is reflected in over 5,000 citations, with his TRADR paper alone influencing subsequent studies on resilient human-robot collaboration. A recipient of multiple awards for innovation in robotics, Neerincx continues to shape the field by bridging cognitive science and engineering, making his research essential for students and professionals interested in creating robots that truly augment human capabilities.
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Top Papers
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