Papers
10
Total Citations
176
H-Index
6
About
Hengli Liu is a leading researcher in intelligent robotics, with a focus on autonomous systems for medical, maritime, and mobile applications. His most impactful work, "Towards Fully Autonomous Ultrasound Scanning Robot With Imitation Learning Based on Clinical Protocols" (68 citations), pioneers the use of imitation learning to replicate clinical scanning protocols, addressing a critical bottleneck in robotic healthcare. Liu has also made significant contributions to human-robot interaction through people detection and tracking with RGB-D cameras (28 citations), and to sustainable robotics with his comprehensive review on energy management for long-term sailing robots (24 citations). His research extends to obstacle avoidance algorithms using LIDAR data (16 citations) and bioinspired robotic eyes employing symmetric Kullback-Leibler metrics (9 citations). Notably, Liu bridges AI and marine disciplines through project-based learning initiatives (14 citations), fostering interdisciplinary talent. His work on collision avoidance for autonomous sailboats based on RRS protocols (5 citations) and parallel self-assembly for modular robots (5 citations) further demonstrates his versatility. With over 170 total citations, Liu’s research is driving innovation in autonomous navigation, medical robotics, and sustainable marine exploration.
Research Focus
Key Achievements
Top Papers
- 1
- 2People detection and tracking using RGB-D cameras for mobile robots28 citations · 2016
- 3Toward Long-Term Sailing Robots: State of the Art From Energy Perspectives24 citations · 2022
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- 7Collision Avoidance for Autonomous Sailboats Based on RRS Protocol5 citations · 2019
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