Tengteng Nie

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About

Tengteng Nie is a researcher focused on the intersection of robotics and wireless communications, with a particular emphasis on indoor robot navigation and path planning. Their most-cited work, "Indoor robot path planning assisted by wireless network" (2019), addresses critical limitations in traditional global path planning methods, such as behavior dynamics and rolling windows, by leveraging wireless network signals to enhance robot positioning and motion control. This contribution offers a novel approach to enabling robots to efficiently navigate from start to target points in complex indoor environments, where conventional methods often fall short. With 6 citations, this paper has laid groundwork for integrating wireless infrastructure into autonomous navigation systems. Nie’s research holds practical significance for applications in logistics, smart homes, and industrial automation, where reliable indoor robot movement is essential. By tackling the challenges of wireless-assisted path planning, Nie has contributed to advancing the reliability and efficiency of autonomous systems in constrained spaces, making their work a valuable reference for students and researchers exploring the synergy between networking and robotics.