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Prof Xiu Yan

Design, Manufacture and Engineering Management

Publications

First engineering framework for the out-of-plane robotic shaping of thin rheological objects
Cocuzza Silvio, Yan X.-T.
Robotics and Computer Integrated Manufacturing Vol 53, pp. 108-121, (2018)
http://dx.doi.org/10.1016/j.rcim.2018.02.005
Optimal path planning based on a multi-tree T-RRT* approach for robotic task planning in continuous cost spaces
Wong Cuebong, Yang Erfu, Yan Xiu-Tian, Gu Dongbing
12th France - Japan Congress, 10th Europe - Asia Congress on Mechatronics, (2018)
Integrated mechanical, thermal, data and power transfer interfaces for future space robotics
Yan Xiu-Tian, Brinkmann Wiebke , Palazzetti Roberto, Melville Craig, Li Youhua, Bartsch Sebastian, Kirchner Frank
Frontiers in Robotics and AI Vol 5, (2018)
http://dx.doi.org/10.3389/frobt.2018.00064
A common data fusion framework for space robotics : architecture and data fusion methods
Dominguez Raul, Govindaraj Shashank, Gancet Jeremi, Post Mark, Michalec Romain, Oumer Nassir, Wehbe Bilal, Bianco Alessandro, Fabisch Alexander, Lacroix Simon, De Maio Andrea, Labourey Quentin, Souvannavong Fabrice, Bissonnette Vincent, Smisek Michal, Yan Xiu
International Symposium on Artificial Intelligence, Robotics and Automation in Space Symposia, (2018)
Autonomous robots for harsh environments : a holistic overview of current solutions and ongoing challenges
Wong Cuebong, Yang Erfu, Yan Xiu-Tian, Gu Dongbing
Systems Science and Control Engineering, (2018)
InFuse data fusion methodology for space robotics, awareness and machine learning
Post Mark, Michalec Romain, Bianco Alessandro, Yan Xiu-Tian, De Maio Andrea, Labourey Quentin, Lacroix Simon, Gancet Jeremi, Govindaraj Shashank, Marinez-Gonazalez Xavier, Dominguez Raul, Wehbe Bilal, Fabich Alexander, Souvannavong Fabrice, Bissonnette Vincent, Smisek Michal, Oumer Nassir W., Triebel Rudolph, Marton Zoltan-Csaba
69th International Astronautical Congress, (2018)

more publications

Professional activities

UK-China Partnership Workshop on Collaborative RASMA research and its applications in Manufacturing and Agricultural PROGRAMME
Chair
17/3/2017
Prof. Guoyuan Zhang
Host
10/2016
UK-China Workshop on Agriculture Robotics and Space Robotics Application in Agriculture
Chair
15/4/2016
Space Mechatronic Technologies for Agriculture Applications
Contributor
2/3/2016
Agribot – Space Mechatronic Technologies for Agriculture Applications
Contributor
1/3/2016
Ying Lu
Host
2016

more professional activities

Projects

Deep Learning-Based Smart Autonomous Systems for the Visual Inspection of Asset Integrity in Harsh Environment
Yang, Erfu (Principal Investigator) Yan, Xiu (Co-investigator)
Robotic and autonomous systems (RAS) have received the increasing interests both in onshore and offshore applications where harsh environment has been a challenging issue particularly in the oil and gas industry. With the rising safety, time and cost concerns relating to the inspection of important industrial equipment and infrastructures, the use of small, lightweight and smart RASs such as UAVs/drones that can be deployed quickly to assess the internal and external conditions are highly desirable.
Period 01-Oct-2018 - 30-Sep-2021
UK-China Space Mechatronic Systems Technology Laboratory Research Programme (SmesTECH) | Brady, Scott
Yan, Xiu (Principal Investigator) Yang, Erfu (Co-investigator) Brady, Scott (Research Co-investigator)
Period 01-Mar-2015 - 01-Sep-2018
Novel strategies for robotic control through the study of dynamic interactions between robots and their environments
Yang, Erfu (Principal Investigator) Yan, Xiu (Co-investigator) Wong, Cuebong (Post Grad Student)
The advances of mechatronics, control and communication technologies have significantly increased the applications of different robotic systems in extreme or harsh environments. These environments can often arise from many industry sectors ranging from manufacturing to operations, such as nuclear, oil and gas, and aerospace, etc. One particular promising area is the on-orbital satellite refuelling application in harsh space environment. It is a challenging task how to deal with the dynamic interactions between robots and space environment. During these interactions the unpredicted forces could be generated due to the uncertainty of space environment and also the impact effects following the capturing action exerting on the satellite to be refuelled. Therefore there needs a pressing innovative solution to the control of dynamic interactions between the robotic system and its environment. There are also many other interesting applications in the areas of smart manufacturing and smart systems where harsh environments have to be dealt properly with the robotic systems. The specific aim of this PhD project is to develop novel strategies for adaptive, intelligent and robust control of autonomous robots through the study of dynamic interactions between robots and their harsh environments. Through these advanced control strategies, it will solve the challenging tasks on how to efficiently deal with the dynamic interactions between autonomous robots and their environments. The novelty of the advanced control is how to make the robots in harsh environments behave adaptively and robustly by using the information from on-board robotic vision system and multiple sensory devices equipped for intelligent task planning and object manipulation. Another novelty of the advanced control strategies lies in that they will be also developed in this project together with other sensor-based control techniques, such as hybrid force-position control. The innovative technology proposed in this project incorporates and integrates both tactile sensing and vision based sensing in object recognition and handlibility analysis, pose estimation, etc. For the on-board robotic vision system, the novelty is to investigate the use of multiple vision sensors, e.g. 2 camera systems coupled with a laser scanning system. The key success factors include the identification of on-board vision sensing systems, development of software systems for 3D object recognition and pose estimation as well as the integration of the sensing system with the control and communication system.
Period 01-Oct-2016 - 31-Mar-2020
Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Wong, Cuebong
Yang, Erfu (Principal Investigator) Yan, Xiu (Co-investigator) Wong, Cuebong (Research Co-investigator)
Period 01-Oct-2016 - 01-Apr-2020
UK-China Space Mechatronic Systems Technology Laboratory Research Programme (SmesTECH) | McMaster, Thomas
Yan, Xiu (Principal Investigator) Ion, William (Co-investigator) Ion, William (Co-investigator) McMaster, Thomas (Research Co-investigator)
Period 01-Oct-2014 - 01-Oct-2018
An EPSRC Life Sciences Interface Doctoral Training Centre for Medical Devices | Went, April
Grant, Mary (Principal Investigator) Yan, Xiu (Co-investigator)
Period 01-Oct-2009 - 30-Sep-2014

more projects

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Design, Manufacture and Engineering Management
James Weir Building

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