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Dr
Danwei WANG, 王郸维, Professor
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Office
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(+65) 6790 5376 |
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Robotics ADVANCe Lab, ST Engineering-NTU Corporate Laboratory |
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News: July 2015: ST Engineering - NTU Corporate Lab starts operation with 16 projects in Phase I. http://ste-ntulab.ntu.edu.sg/Pages/Home.aspx. NTU, ST Engineering and the National Research Foundation are jointly investing $52.5 million over the next five years in the new ST Engineering-NTU Corporate Lab. A pivotal development for NTU, the ST Engineering-NTU Corporate Lab is expected to expand ST Engineering’s current research efforts and support the development of advanced technologies for autonomous systems. Building up intelligent and unmanned systems capability in Singapore is crucial and provides great economic value for the nation by creating higher value jobs, developing human capital, seeding innovative applications. This is expected to enhance the nation’s standing in education and industrially relevant research internationally. In addition, the ST Engineering-NTU Corporate Lab is expected to have up to 37 graduate students and 55 research staff with research in the following areas that are key to autonomous systems technology development namely: 1) Airports Airside Operations and 2) Crisis Response and Disaster Relief. These areas of research represent a tremendous opportunity for NTU and the nation to progress towards our strategic goal of building a knowledge base and competencies in these areas, as well as providing valuable educational and training opportunities for our local workforce. July to December 2014: Five patents have been granted in USA, China, Europe, Singapore, etc. The patent title: Traffic Signal Control Method and Traffic Signal Controller. June 2014: Publishing of a new book in Advance : WANG, Danwei, YE, Yongqiang, and ZHANG, Bin, "Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation", In Advance Industrial Control Series, Springer New York, June 2014, ISBN: 978-981-4585-59-0, ISBN 978-981-4585-60-6 (eBook), DOI 10.1007/978-981-4585-60-6, ISSN 1430-9491, ISSN 2193-1577 (electronic).
October 2013: During 2012-2013, I led the E-Mobile team consisting of a group of academic staff, students and engineers from the EXQUISITUS, Centre for E-City, who are robot enthusiasts and are willing to take the challenges of robotics research frontiers. The team has developed a fleet of autonomous mobile robots for outdoor and urban environments to participate the TechX Challenge 2013. The team successfully passed the Qualifying Round competition (Jan 2013) by overcoming seven benchmarking functionality milestone tests and came out from the FINALS (Oct 2013) with the best performance among the finalists. The TechX Challenge 2013 competition scenarios are within high-fidelity urban setting, replete with realistic obstacles and conditions, and with targets placed inside buildings as well as outdoor environments. Participating teams deploy their robots from a starting point to autonomously scout the entire areas to detect and engage these targets from very complex environments and backgrounds, and return to the finish area when all missions are completed. Such remarkable capabilities are the desired attributes of future robots and are required of the participating robots. These include outdoor navigation, static and dynamic obstacle avoidance, autonomous stair climbing, static target detection and engagement, and robotic co-operation if a team of robots is fielded. The development of such a fleet of autonomous robots includes the following main work packages: (1) design and building of two platforms: one track robot and three wheel robots; (2) sensor selections and sensor suit designs; (3) communication system and protocol designs; (4) GPS data processing and waypoint navigation; (5) Operation Control Unit; (6) Safety system and tele-operation; (7) static and dynamic obstacle avoidance; (8) G-mapping and localization; (9) target searching; (10) door entry and exit; (11) stair climbing and descending; (12) vision-based target identification; (13) vision-based odometry; (13) mission control and integrated testing. This project involves a wide range of development from specific algorithms as well as the system of systems.
June 2013: Publication of a book: WANG, Danwei, YU, Ming, LOW, Chang Boon, and AROGETI, Shai, "Model-based Health Monitoring of Hybrid Systems", Springer New York, June 2013, ISBN: 978-1-4614-7368-8 (Print) 978-1-4614-7369-5 (Online), DOI10.1007/978-1-4614-7369-5.
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Last Updated Oct 2013 |
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