Lihua Xie

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About

Lihua Xie is a prominent researcher whose work spans robotics, multi-robot systems, autonomous navigation, and advanced sensing technologies. His contributions have significantly advanced the field of intelligent robotic systems, particularly in addressing complex real-world challenges such as navigation in unknown environments and environmental perception. Among his notable recent contributions, Xie has tackled the critical problem of maintaining line-of-sight connectivity in multi-robot navigation within unknown, obstacle-laden environments. His work on REALM introduces real-time solutions that go beyond the limitations of prior approaches, enabling more robust inter-robot communication and situational awareness — a contribution that has already garnered 6 citations since its 2025 publication. Complementing this, his research on LiDAR-motor calibration systems addresses fundamental sensing limitations in quadruped robotics, offering practical on-site solutions that expand panoramic 3D environmental awareness despite strict payload constraints. Xie's research demonstrates a consistent focus on bridging theoretical rigor with practical robotic deployment, making his work highly relevant to both academic researchers and industry practitioners. His contributions to autonomous systems and sensor fusion continue to shape emerging directions in mobile robotics and intelligent environmental perception, establishing him as an influential voice in the field.