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About

Logan Yliniemi is a researcher whose work spans robotics, artificial intelligence, and multi-agent systems, with a particular focus on making autonomous robots capable of operating effectively alongside humans. Yliniemi has made significant contributions to the field of socially-aware navigation (SAN), developing novel non-linear multi-objective optimization approaches that enable mobile robots to recognize and respect subtle social norms as they move through human environments. This work, which has garnered over 23 citations since its 2018 publication, addresses a critical challenge for socially assistive robots (SAR) seeking acceptance in complex, unpredictable real-world settings such as hospitals, homes, and shopping centers. Beyond human-robot interaction, Yliniemi has also contributed meaningfully to autonomous multiagent space exploration, investigating how teams of robotic agents can operate under high uncertainty, communication delays, and resource constraints while incorporating high-level human feedback — research that has earned nearly 20 citations and speaks to its relevance for future deep-space missions. Across multiple publications revisiting and refining the socially-aware navigation problem, Yliniemi demonstrates a commitment to iterative scientific rigor. Their body of work reflects a broader mission to bridge autonomous intelligence with real-world human needs.