Papers
10
Total Citations
76
H-Index
5
About
Haibo Liu is a robotics and biomedical engineering researcher whose work spans autonomous navigation, continuum robotics, and non-invasive cancer diagnostics. His key contributions include developing CoL-GAN, an attention-based generative adversarial network for predicting collision-free pedestrian trajectories—critical for autonomous driving and robotic navigation—and pioneering the design of screw-drive in-pipe robots using parameterized simulation technology for pipeline inspection. Liu has also advanced continuum and hyper-redundant robots, proposing flexible head-following motion planning and efficient inverse kinematics optimization for smooth, scalable robotic systems. His impact is reflected in over 70 cumulative citations, with his most cited work (CoL-GAN, 24 citations) addressing a fundamental challenge in trajectory prediction. Notably, Liu contributed to a cost-effective, non-invasive pfeRNA-based test that differentiates benign from malignant pulmonary nodules, showcasing his interdisciplinary reach. His recent work on cable-driven super-redundant robots under stiffness constraints further demonstrates his leadership in precision robotics for confined environments. Liu’s research bridges theoretical innovation and practical application, making him a notable figure in both robotics and biomedical engineering.
Research Focus
Key Achievements
Top Papers
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- 7Obstacle detection algorithm for mobile robot based on multi-sensor4 citations · 2012
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