Dr Guangming Wang (middle) receiving recognition at ICRA 2026. Only five Outstanding Associate Editor Awards were presented worldwide.
Dr Guangming Wang, Research Associate in the Department of Engineering at the University of Cambridge based at the Centre for Smart Infrastructure and Construction and the Laing O’Rourke Centre for Construction Engineering and Technology has been recognised with the ICRA 2026 Conference Editorial Board Outstanding Associate Editor Award for his contributions to the global robotics research community.
Presented by the IEEE International Conference on Robotics and Automation (ICRA), the award recognises outstanding editorial service and commitment to advancing the quality, rigour and impact of one of the world’s leading robotics conferences. Dr Wang was one of only five researchers worldwide to receive the award. The recognition reflects Dr Wang’s continued contribution to the international robotics community through his academic service, including his role as an Associate Editor for IEEE Robotics and Automation Letters and his involvement with the ICRA and IROS Conference Editorial Boards. The award highlights his growing international standing in robotics, robot perception and embodied artificial intelligence research.
Guangming mentioned, “The long-term goal is to enable robots to close the loop from perception, to prediction, to action - so that they can understand the 3D physical world, anticipate change, and make safe decisions in complex engineering environments.”
Dr Wang’s research in ActionReasoning and RoboFlow4D advances a vision for robots that can perceive, predict and act in complex real-world environments. These developments support safer and more adaptive autonomous systems for construction, infrastructure and other industries requiring advanced physical interaction and decision-making.
Through an industry collaboration on autonomous robotic welding, Dr Wang is helping develop intelligent robotic systems that can learn, adapt and operate in challenging construction and manufacturing environments, supporting the transition of embodied AI research into practical applications. Dr Wang’s research sits at the interface of construction robotics, embodied AI, 3D/4D perception, robot manipulation, digital twins and physically grounded world models. Through Centre for Smart Infrastructure and Construction and the Laing O’Rourke Centre for Construction Engineering and Technology, his work connects fundamental advances in robotics and machine learning with industry-facing challenges in infrastructure delivery, construction automation and safe autonomous systems.
Researchers, students, industrial partners and investors interested in robotics, embodied intelligence, world models, digital twins or commercial collaboration at Cambridge are warmly invited to contact Dr Guangming Wang.
Contact - Dr Guangming Wang, Department of Engineering, University of Cambridge
Email: gw462@cam.ac.uk
Website: https://guangmingw.github.io/
TwinWorld Workshop: https://twin-world.github.io/