Max Robotics — Global Service Robot Directory + US Certification

About

Haiyan Shao is a rising researcher in robotics and human-robot interaction, with a focus on developing intelligent, adaptive systems for collaborative and assistive applications. Her work centers on three key areas: multimodal reinforcement learning for human-robot collaboration, sensor fusion for state estimation in legged robots, and intelligent positioning algorithms for service robots. Shao’s most notable contribution is the Multimodal Reinforcement Learning Human-Robot Collaboration (MRLC) framework, which integrates reinforcement learning to enable robots to adapt flexibly to users with different habits—a significant advance over rigid collaboration models. She has also made impactful contributions to quadruped robotics, proposing sensor fusion algorithms that combine leg odometry with ORB-SLAM3 and Invariant Extended Kalman Filters to improve state estimation accuracy, addressing critical limitations of internal sensor-based pose tracking. Additionally, her work on intelligent massage robot positioning enhances interactivity and usability. With over 16 citations across her 2022 publications, Shao’s research is gaining recognition for its practical relevance, particularly in making robots more responsive and reliable in real-world settings. Her work is especially valuable for students and researchers interested in reinforcement learning, sensor fusion, and the future of collaborative and service robotics.