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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 11.

Mineo, C and Vasilev, M and Cowan, B and MacLeod, C N and Pierce, S G and Wong, C and Yang, E and Fuentes, R and Cross, E J (2020) Enabling robotic adaptive behaviour capabilities for new industry 4.0 automated quality inspection paradigms. Insight: The Journal of the British Institute of Non-Destructive Testing, 62 (6). pp. 338-344. ISSN 1354-2575

Mineo, Carmelo and Wong, Cuebong and Vasilev, Momchil and Cowan, Bruce and MacLeod, Charles N. and Pierce, S. Gareth and Yang, Erfu (2019) Interfacing Toolbox for Robotic Arms with Real-Time Adaptive Behavior Capabilities. Preprint / Working Paper. University of Strathclyde, Glasgow.

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing; Althoefer, Kaspar and Konstantinova, Jelizaveta and Zhang, Ketao, eds. (2019) An optimal approach to anytime task and path planning for autonomous mobile robots in dynamic environments. In: Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings. Lecture Notes in Computer Science . Springer Publishing, Cham, pp. 155-166. ISBN 9783030253318

Zabalza, Jaime and Fei, Zixiang and Wong, Cuebong and Yan, Yijun and Mineo, Carmelo and Yang, Erfu and Rodden, Tony and Mehnen, Jorn and Pham, Quang Cuong and Ren, Jinchang (2019) Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments - a case study. Sensors, 19 (6). 1354. ISSN 1424-8220

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing (2019) Dynamic anytime task and path planning for mobile robots. In: The UKRAS19 Conference on Embedded Intelligence, 2019-01-24 - 2019-01-24, Loughborough University. (In Press)

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing (2018) Optimal path planning based on a multi-tree T-RRT* approach for robotic task planning in continuous cost spaces. In: 12th France - Japan Congress, 10th Europe - Asia Congress on Mechatronics, 2018-09-10 - 2018-09-12, Mie University.

Zabalza, Jaime and Fei, Zixiang and Wong, Cuebong and Yan, Yijun and Mineo, Carmelo and Yang, Erfu and Rodden, Tony and Mehnen, Jorn and Pham, Quang-Cuong and Ren, Jinchang (2018) Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environments : a case study. In: The 9th International Conference on Brain-Inspired Cognitive System​, 2018-07-07 - 2018-07-08, Guangcheng Hotel.

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing (2018) Autonomous robots for harsh environments : a holistic overview of current solutions and ongoing challenges. Systems Science and Control Engineering, 6 (1). pp. 213-219. ISSN 2164-2583

Wong, Cuebong and Yang, Erfu and Yan, Xiu and Gu, Dongbing; (2017) An overview of robotics and autonomous systems for harsh environments. In: ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing. IEEE, GBR. ISBN 9780701702618

Wong, Cuebong and Yang, Erfu and Yan, Xiu-Tian and Gu, Dongbing (2017) Adaptive and intelligent navigation of autonomous planetary rovers – a survey. In: The 11th NASA/ESA Conference on Adaptive Hardware and Systems, 2017-07-24 - 2017-07-27, the California Institute of Technology.

Wong, Cuebong and Yang, Erfu and Yan, Xiutian and Gu, Dongbing (2017) Robots in industry : a shift towards autonomous and intelligent systems in the digital age. In: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, University of Glasgow.

This list was generated on Sat Apr 20 04:52:31 2024 BST.