Ziqiang Liu

Hangzhou Dianzi University, Wuhan University of Technology, Jiangxi University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Ziqiang Liu is a pioneering researcher at the intersection of cooperative artificial intelligence and multi-robot systems, with a primary focus on underwater and quadrupedal robotics. His most influential work, "Cooperative Artificial Intelligence for underwater robotic swarm" (2023), has garnered 71 citations, establishing a foundational framework for decentralized decision-making in autonomous underwater vehicle (AUV) swarms. This contribution addresses critical challenges in underwater exploration and surveillance by enabling scalable, intelligent coordination without centralized control. Dr. Liu further advanced the field with "Formation control of multiple AUVs using decentralized self-attention based soft actor–critic model" (2025), introducing a novel deep reinforcement learning approach that enhances formation stability and adaptability in dynamic underwater environments. In parallel, his research on human-robot interaction, particularly through "Human-Robot Physical Interaction System for Quadruped Guide Robot Based on IMU Data" (2024), demonstrates a commitment to assistive technologies for the elderly and visually impaired. By leveraging inertial measurement unit data, Dr. Liu has developed intuitive physical interaction systems that improve the safety and reliability of quadrupedal guide robots. His work bridges theoretical advances in multi-agent reinforcement learning with practical applications in marine robotics and assistive technology, making significant contributions to both fields.