In order to advance cutting-edge research in the field of intelligent robotics, and enable broader and deeper applications of intelligent robotic technologies in various industries and collaborative services, the Intelligent Robotics research aims to achieve highly intelligent robotic systems and focuses on addressing the challenges of environment perception and motion behavior learning.

The main research areas include technologies for perceiving complex and dynamic environments; cognitive architectures for robots based on embodied intelligence; learning, reasoning, and decision-making techniques inspired from human cognitive mechanisms; autonomous behavior control techniques that leverage sensorimotor coordination and cooperative mechanisms.

The team has undertaken dozens of national, provincial, and other research projects, and published over a hundred academic papers and filed more than ten national invention patents. They have received several awards, including the second prize of Hubei Province Science and Technology Progress Award (2017), Best Paper Award at the International Conference on Information Communication and Signal Processing (ICICSP) in 2022, Best Paper Nominee at the World Robot Conference (WRC) in 2019, Best Paper Nominee at the IEEE International Conference on Information and Automation (IEEE ICIA) in 2015 and 2016, and the First Prize Award at the Robot Skill International Competition at the 23rd International Joint Conference on Artificial Intelligence (IJCAI) in 2013.