SIUSAI 2017 Keynote and Plenary

Keynote Speaker I

Professor Ian Robert McAndrew.png

Prof. Ian Robert McAndrew

Embry-Riddle Aeronautical University,UK

Speech Title:Innovation, what do we mean and how does this apply to AI and UAV?

Abstract:Innovation is an item that can mean different things to different people. There are cases where innovation is presented as good design and others where it is ignored from the inflexibility. However, innovation has to start and be allowed to develop. Researchers and scientist are looking at AI and UAVs for roles and applications. If we think classically then there might not be developments. In his talk Prof. Ian McAndrew will discuss how we can learn from others and what we need to think about that separates innovation, innovative process and ideas from basic engineering development. He argues that design is insufficient to be the driver of innovation.

Prof. Ian R. McAndrew PhD is a mechanical engineer that has worked in education for over 25 years. His teaching and research has been globally, starting in

London and now with Embry Riddle Aeronautical University. He has taught in over 20 countries and published with many academics from all over the world. He is currently the Department Chair for Graduate Studies in the college of Aeronautics, where he is responsible for 6 Masters degrees and over 3000 students. He has 5 degrees, also a qualified Electrical engineer and FRAeS. He has supervised over 25 PhDs and has almost 50 peer reviewed publications. His current research is in aerodynamics and low speed flight. He is a keen supporter of conferences as this is where junior researchers can develop their skills for a life in research.

Dr. Ian McAndrew FRAeS is a Tenured Faculty and Full professor at Embry Riddle Aeronautical University. He has worked in academia for over 27 years and lectured globally. Currently his research is in the area of low speed aerodynamics for UAVs. He has more than 55 journal and conference publications and almost 30 successful PhD supervisions. He is frequently invited to deliver Keynote speeches and is the Chair of several International Conferences. Additionally, he is the editor or assistant editor in chief of several International Journals.

Keynote Speaker II


Prof. Huosheng Hu


School of Computer Science & Electronic Engineering

University of Essex, Colchester CO4 3SQ, U.K.

I am a Professor in the School of Computer Science & Electronic Engineering at University of Essex, U.K., leading Human Centred Robotics Research.

I joined the University of Essex, Department of Computer Science  as a Senior Lecturer in 1998 and promoted to Reader in 2001 and then Professor in 2002. Previously, I was a lecturer in the Department of Cybernetics University of Reading for 1 year, and a senior researcher in the Robotics Research Group Dept. of Engineering Science, Oxford University  for 9 years to develop advanced mobile robots for manufacturing applications. In Oxford, I designed and built a number of autonomous mobile robots, smart sensors and actuators, intelligent controllers, some of which can be seen from my robot gallery. I was a visiting scholar in the Departments of Electrical & Electronics and Mechanical Engineering, the University of Birmingham between May 1987 and September 1988. Before I came England in 1987, I was a lecturer in the Department of Control Engineering, the Central South University, Changsha, China between 1982 and 1987.

I am a Guest Professor in Shanghai University (2004-present), Xiamen University (2008-present), Central South University (2004 – 2010; 2016-present), Dalian University of Technology (2010-2013), Chongqing University of Post & Telecommunications (2004-present), Southwest University (2010-2013), Kunming University of Science and Technology (2004-2010), Fujian University of Technology (2008-2010),  and Northeast Normal University in China (2005-2010).

I have published over 480 papers in refereed journals, books, and conference proceedings in the areas of Autonomous mobile robots, Mechatronics, Embedded systems, Biologically inspired robotics, Human-machine interaction, Bio-signal processing, pervasive computing, distributed computer architectures, smart sensors, data fusion,  learning algorithms (GA, NN, FL) in robotics, evolutionary robotics, sensor networks, as well as networked devices, systems and robots.

I am a Fellow of IET (The Institution of Engineering and Technology), a Fellow of InstMC (The Institute of Measurement & Control), a Chartered Engineer, and a founding member of IEEE Society of Robotics and Automation Technical Committee on: Networked Robots.

I am currently an Editor-in-Chief for International Journal of Automation and Computing, Editor-in-Chief for Robotics Journal, and Executive Editor for International Journal of Mechatronics & Automation.

Invited speaker


Dr. Spot Srigrarom,Singapore 

Associate Professor, Aerospace Systems,University of Glasgow Singapore.

Speech title:Development of UGS vision-based navigation and guidance design for UAVs for waypoint tracking and collision avoidance


One of the key capabilities of an Unmanned Aerial Vehicle (UAV) is to identify and avoid obstacles in its path by obtaining and processing information of its surrounding environment. This information could be obtained from, inter alia, sensors, GPS and live video input. This project focuses on the utilization of a single vision camera to obtain live video input, providing vision-based navigation to achieve collision avoidance, as well as a guidance design for waypoint tracking. With the live video input being made up of a series of captured images, strong feature points in these consecutive image frames are matched to detect motion parallax. False positive results from incorrect matching will be eliminated using filters. With the Region of Interest (ROI) predetermined, redundant feature points will also be dismissed to reduce processing load and computing time. The relevant results will then be used to estimate the relative obstacle position. While avoiding collisions, the UAV will perform continuous waypoint tracking by calculating the difference between coordinates so as to manoeuvre towards desired waypoint. The final phase of this project involves the application of this approach on a 2-axis flight path planning simulation and subsequently, on a moving vehicle.

The typical and traditional technique applied to establish formation control either uses GPS navigation or communication systems to control the position of members of the specific formation. However, these methods require extensive and expensive computation, communication and is subjected to various limitations. Hence in this paper, focus will be placed on vision-based approaches to reduce the complexity and limitations while providing similar outcome results. Image processing computations, provides many rich and useful information of the targets and environment surroundings which can be used for many applications such as image recognition, autonomous navigation and 3D mapping. In this project, MATLAB Image Processing Tools will be intensively used in order to achieve the desired result. Several MATLAB algorithms are developed and integrated together to provide necessary information to achieve the desire formation control. Firstly, an image detection algorithm is created to allow the system to track the preassigned specific target, this will ensure that the follower can identify the leader. Next emphasis will be the development of distance and bearing measurement algorithm to calculate the specific position and distance of the target using the concept of focal length and resolution of the camera. This algorithm will provide essential and accurate inputs to the system and hence allowing the system to know its position relative to the specific target. Finally, attention will be placed on creating a corner detection algorithm to remove disparities when the target is not at desired level position. Due to the several factors, such as translation, rotation movements, and lightings, often targets will not be in a favorable position hence causing disputes and errors in calculation of distance and bearing. Therefore, corner detection algorithm is put in place to compensate and minimize the difference.


Dr. Spot is currently working at University of Glasgow Singapore in partnership with Singapore Institute of Technology, as an associate professor in Aerospace Systems. Prior to this, he worked for the Boeing commercial airplane company in Seattle during his graduate study. Before joining UGS-SIT, Dr. Spot was at Nanyang Technological University (NTU) and SIM University. He was a visiting professor at MIT, Univ. of Toronto, National Cheng Kung University (Taiwan), Konkuk University (Korea) and Kasetsart Univ. (Thailand). He is an associate editor of Journal of Unmanned Systems Technology (JUST). He has published about 40 journal and 30 conference papers (as of 2012). His research areas are:

- Unsteady Aerodynamics, Flapping Wing MAV

- Bio-inspired Fluid Mechanics Flying/Swimming studies

- Unmanned Aerial Vehicle/Micro Aerial Vehicle (UAV)

- Vision-based Navigation, Swarming of UAVs

- Rotary Wing Aerodynamics, Blade designs

- Wind/tidal turbine designs for renewable energy

- Fluid-Structure Interaction, Aero-/Hydro-elasticity

- Computational Fluid Dynamics (CFD) and Finite Element Analyses (FEA) applications for industrial/practical problems