Aoxiang Wang

Papers

Total Citations

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About

Aoxiang Wang is a researcher in mobile robotics, with a focus on human-robot interaction and intuitive navigation systems. His most cited work, "A Novel Mobile Robot Navigation Method Based on Hand-Drawn Paths" (2020, 13 citations), challenges conventional waypoint-based navigation by drawing inspiration from human cognitive mapping. Wang proposes that, just as a tourist instinctively follows a mental route on a map, a robot should interpret hand-drawn paths as continuous, intuitive guides rather than discrete coordinates. This approach simplifies human-robot communication, reducing the need for precise waypoint programming and enabling more natural, adaptive navigation in dynamic environments. His contributions bridge the gap between human spatial reasoning and robotic path planning, offering a more accessible interface for non-expert users. While his citation count is modest, Wang's work represents a creative step toward making mobile robots more responsive to human intent, with potential applications in service robotics, assistive technology, and autonomous exploration. His research underscores a growing interest in cognitive-inspired robotics, where machines learn from human instinct rather than rigid algorithms.