MSc in Robotics

 

Supervisors (2020/2021)

 

We have a number of faculty members with a diversity of knowledge and experience from both two schools, EPS and MACS. A list of supervisors with their short bio can be found below.  

Xianwen Kong (Programme Co-Director), EPS

Patricia A. Vargas  (Programme Co-Director), MACS

Alexander Belyaev, EPS

Frank Broz, MACS

Christian Dondrup, MACS

Mauro Dragone, EPS

Ekaterina Komendantskaya, MACS

Yvan Petillot, EPS

Ron Petrick, MACS

Sen Wang, EPS

 

Xianwen Kong

 

Xianwen Kong is currently an Associate Professor in the School of Engineering and Physical Sciences at Heriot-Watt University. His research interests include mechanisms, robotics, mechatronics and their applications in manufacture and renewable energy. He developed a systematic approach to the creative design of parallel manipulators and compliant parallel manipulators and initiated the research on disassembly-free reconfigurable parallel manipulators. He has authored or co-authored one monograph published in English by Springer in 2007 with its Russian translation and Chinese translation by the Russian publisher FIZMATLIT – Nauka Publishers and the China Machine Press in 2012 and 2013 respectively, two U.S. patents and a number of publications in journals and conference proceedings. He is a Fellow of ASME (America Society of Mechanical Engineers), an associate editor for Mechanism and Machine Theory, Journal of Mechanisms and Robotics, and IEEE RA-L as well as a committee member of ASME (America Society of Mechanical Engineers) Mechanisms and Robotics Committee.

 

 

Patricia A. Vargas

 

Patricia A. Vargas, PhD, is the Founder Director of the Robotics Laboratory, Director of Ethics and Associate Professor/Reader in Computer Science and Robotics at the School of Mathematical and Computer Sciences at Heriot–Watt University in Edinburgh, UK. She is an executive member of the Edinburgh Centre for Robotics. She is also an IEEE Senior Member and Fellow of the Higher Education Academy, plus an exec member of the IEEE Ro-Man Standing Steering Committee. She was a post-doc at the Centre for Computational Neuroscience and Robotics, University of Sussex, UK for 3 years. Her research interests include Evolutionary and Bio-inspired Robotics, Swarm Robotics, Computational Neuroscience, Machine Learning, Human–Robot Interaction, Rehabilitation Robotics and Neurorobotics.

 

 

Alexander Belyaev

Dr Alexander Belyaev is currently an Associate Professor at the Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, UK. His main research topics are digital geometry processing, mathematical image analysis, and applied partial differential equations, on which he published more than one hundred articles in international conferences and journals. Belyaev co-authored several Best Paper Award-winning papers at international conferences. Some of his works on surface reconstruction from scattered point data, shape feature extraction, and mesh filtering are widely cited and used by students and scholars worldwide. 

Frank Broz

Dr Frank Broz's research interests are in human-robot interaction, social robotics, AI, and machine learning. Particular topics of interest are nonverbal behaviours (especially gaze) and planning under uncertainty for HRI. Prior to joining Heriot-Watt, he was a research fellow at Plymouth University and the University of Hertfordshire working on projects in developmental and assistive robotics. He completed his PhD at the Carnegie Mellon University Robotics Institute on the use of time-dependent POMDPs to model ambiguous socially situated interaction tasks.

Christian Dondrup

Christian Dondrup is the director of the HRI MSc programme and the director of the BEng Robotics Joint Education Programme with Ocean University China. He is currently an Assistant Professor in the School of Mathematical and Computer Sciences. He is the Co-I on the Socially Pertinent Robots in Gerontological Healthcare (SPRING) project.
Christian finished his PhD in Computer Science in 2016 at the University of Lincoln, UK as part of the STRANDS FP7 EU project concerned with long-term autonomy for mobile robots. His thesis focused on human-aware navigation in ever-changing human-populated environments and how qualitative spatial relations can be used to abstract from the metric world in order to achieve robust navigation approaches. Before that, he received the Diplom degree (equivalent to MSc) in computer science in the natural sciences from Bielefeld University (Germany) in 2012. His thesis involved developmental robotics and speech recognition, focusing on human-robot interaction in tutoring scenarios. Before his employment as an Assistant Professor, Christian was a Research Fellow at the Heriot-Watt University in Edinburgh, UK and involved in the MuMMER H2020 EU project.
Christian's research interests focus on Human-Robot Interaction in general. This includes fields such as social robots, robots in health care, human-aware navigation, planning and control of robots for HRI, spatio-temporal relations, and human-robot verbal interaction to name a few.

Mauro Dragone

Dr Mauro Dragone's background is in the area of cognitive robotics, human-robot interaction, multi-agent systems, software engineering and Internet of Things (IoT). He is a graduate at Bologna University (BSc in Computer Science) and University College Dublin (PhD in Computer Science).  He has participated to European IoT projects and led the EU project RUBICON, building self-learning smart spaces combining sensors, actuators and robots working together to accomplish complex tasks and with the ability to autonomously adapt to new environments and to changing and evolving requirements. At Heriot-Watt, Dr. Dragone set up the Robotic Assisted Living Testbed, a home-like environment where roboticists and computer scientists, and also usability and health experts, psychologists, and sociologists, can work alongside people with assisted living needs and those supporting them, to co-design and test innovative solutions for healthy ageing and assisted living.

 

Ekaterina Komendantskaya

 

Ekaterina Komendantskaya is a logician with keen interest in AI and verification of autonomous systems. She holds a PhD from the department of Mathematics, University College Cork, Ireland, with her PhD thesis “Learning and Deduction in Neural Networks and Logic” (2007) devoted to the topic of Neuro-Symbolic integration. She held a postdoctoral position in INRIA, France (2007-2008), devoted to the development of the interactive theorem prover Coq. She came to Scotland in 2008 with EPSRC Fellowship in Theoretical Computer Science ``Computational Logic in Artificial Neural Networks” (2008-2011). Since then, she held various positions at St Andrews, Dundee and Heriot-Watt universities, and has been a PI in further 3 EPSRC grants on logic and verification. She is currently an associate professor in Computer Science at Heriot-Watt University. At Heriot-Watt, she leads a research lab on "AI and Verification" (LAIV.uk). MSc students who join LAIV.uk work closely with LAIV researchers and PhD students, and become an integral part of the lab. In 2018-19, LAIV MSc students worked on various topics concerning Neural network Verification, achieved great results (see http://laiv.uk/index.php/laiv-publications/), with dissertation marks ranging between 85% and 95%, were nominated for best dissertation prizes, received James Watt Scholarship to do a PhD or moved on to prestigious positions in other universities.  This year as well, we are inviting exceptional students to join LAIV.uk efforts on AI verification.

 

Yvan Petillot

Yvan Petillot is a Professor of Robotics and Computer Vision at Heriot-Watt University since 2008. Yvan studied engineering and Telecommunications in France at the Ecole Nationale Supérieure des Télécomnunications de Bretagne in France, graduating in 1991. This was followed by a PhD in Image processing which he defended in 1996. After a short period in industry, he joined Heriot-Watt University in 1997 as a Research Associate and was recruited as a lecturer in 2001. He is a leading member of the Oceans Systems Laboratory and the head of the Institute for Sensor Signals and Systems in the school of Engineering and Physical Sciences. Until August 2015, he was also a Royal Society Industry Fellow in collaboration with SeeByte Ltd, a company he co-founded in 2001 and in which he was Chief Technical Officer until 2010. With over 20 years experience in Subsea Robotics, Image Processing and Autonomous Systems in the maritime domain, he has made very significant contributions to target detection and classification multiple vehicle collaboration and autonomous inspection and manipulation.

 

 

Ron Petrick

 

Dr Ron Petrick is an Associate Professor in the School of Mathematical and Computer Sciences at Heriot-Watt University and a member of the Edinburgh Centre for Robotics. His research interests include automated planning, cognitive robotics, and interactive systems, with a recent focus on the application of planning techniques to robot systems deployed in real-world environments. He is particularly interested in the use of automated planning in scenarios involving human-robot interaction, collaboration, and plan explainability.