Yuanhao Liu

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About

Yuanhao Liu is an emerging researcher working at the intersection of artificial intelligence, robotics, and autonomous navigation. His work focuses on equipping mobile robots with the perceptual and cognitive capabilities needed to operate safely and efficiently in complex real-world environments, spanning both indoor settings and dynamic construction sites. Liu's most recognized contribution, "Multimodal Perception for Indoor Mobile Robotics Navigation and Safe Manipulation" (2024), addresses the persistent challenges of navigating constrained indoor spaces and executing safe physical interactions — problems critical to applications in healthcare, logistics, and domestic assistance. This work has already garnered 9 citations, reflecting strong early interest from the robotics community. Building on this foundation, his 2025 study on AI-enabled autonomous navigation in construction environments demonstrates his commitment to translating intelligent robotics research into high-stakes industrial applications, where obstacle awareness and adaptability in dynamic settings are paramount. Though early in his research career, Liu's trajectory suggests a focused dedication to bridging perception, machine intelligence, and real-world robotic deployment. Students and practitioners working in autonomous systems, human-robot interaction, or smart construction will find his growing body of work both practically relevant and technically ambitious.