Our mission and dedication are to create intelligent systems that can autonomously operate in a complex and diverse environment, with multiple perception approaches. We are fascinated by novel robot concepts that are best adapted for acting with large-scale and dynamic environments and different terrains. We are furthermore keen to give them the intelligence to autonomously navigate in challenging environments. This includes novel methods and tools for human-robot interaction, perception, cognition, knowledge abstraction, mapping, learning, representation, planning, and execution.
Our recently published 3D road reconstruction system has been reported by over ten international media agencies, such as VentureBeat, Diamandis, Drobots Company, UAS Vision, Import AI, Impact Lab, US Breaking News, PCNewsBuzz and Engineering 360. The paper is available at CVPR 2019 open access website.
Ming received 2018 IROS Toshio Fukuda Young Professional Award. He is being recognized: “For outstanding contributions to mobile robot path planning and control.” This award recognizes individuals (from academic institutions, government, industry, or research labs) who, in their early career, have made identifiable contributions that have had a major impact on intelligent robots and systems.
Ming contributed a column article “Real paradox as self-driving age nears” for the HK Standard.
Ming presented “ How Robots Are Improving the Lives of People with Disabilities” for IEEE Transmitter.
Welcome new Ph.D. students Peide Cai, Huaiyang Huang, Yang Liu, Hengli Wang, Sukai Wang and Xiaodong Mei joinning on Aug, 2018.
Ming is on the review committee board of Israeli Ministry of Science and Technology.