Shiliang Shao

Papers

Total Citations

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About

Shiliang Shao is a robotics and autonomous systems researcher whose work spans brain-inspired navigation, multi-robot coordination, and fault-tolerant systems. His research bridges cognitive science and robotics engineering, developing navigation frameworks that integrate environmental perception, spatial cognition, and multimodal sensing to enable intelligent mobile robot behavior. His 2024 review on brain-inspired cognition and navigation, already accumulating 37 citations, has established itself as a key reference for researchers seeking to understand how biological principles can inform autonomous navigation design. Earlier in his career, Shao made notable contributions to multi-robot fault tolerance, proposing distributed fault detection and isolation methods for robot swarms operating under imperfect communication conditions — work that garnered 17 citations and addressed a critical challenge in real-world multi-robot deployment. More recently, his review of collaborative simultaneous localization and mapping (C-SLAM) reflects his continued commitment to synthesizing progress in multi-robot systems operating across complex environments. Collectively, Shao's research agenda advances the theoretical and practical foundations of intelligent, resilient robot systems, making his work valuable reading for students and practitioners working at the intersection of artificial intelligence, robotics, and autonomous navigation.