Guiqiang Bai

Jilin University, Harbin Engineering University

Papers

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About

Dr. Guiqiang Bai is a leading researcher in underwater robotics and autonomous systems, with a focus on navigation, formation control, and bio-inspired design. His work addresses critical challenges in underwater sensor networks and multi-vehicle coordination, particularly for complex, obstacle-rich environments. Dr. Bai’s most-cited paper, "Adaptive location correction and path re-planning based on error estimation method in underwater sensor networks" (2022, 9 citations), introduces a novel approach to improving localization accuracy and dynamic path adjustment, directly enhancing the reliability of autonomous underwater operations. In "Collaborative Search and Target Capture of AUV Formations in Obstacle Environments" (2023, 8 citations), he develops strategies for multi-AUV formations to safely navigate array-type obstacles like gullies and bumps, balancing convergence time, transformation distance, and power consumption—a significant contribution to cooperative robotics. His recent work, "Structural and Kinematic Analysis of an Amphibious Crab-Like Robot for Nearshore Environmental Applications" (2024, 2 citations), explores bio-inspired design parameters for robots operating in seabed and narrow sidewall environments, advancing the field of amphibious locomotion. Dr. Bai’s research has direct applications in environmental monitoring, underwater exploration, and search-and-rescue missions.