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Personal profile

Research interests

Yvan specialises in robotics and sensing and is an expert in autonomous systems, image analysis and control applied to the subsea domain. He has made major contributions in sonar image processing and target detection and recognition.  He manages a portfolio of £1M grants covering all aspects of underwater signal processing from MIMO and bio-inspired sonar systems to seabed classification and automatic target detection in clutter.

Biography

Yvan Petillot is a Professor of Robotics and Computer Vision at Heriot-Watt University. He is a leading member of the Oceans Systems Laboratory, the deputy director of the Institute for Sensor Signals and Systems and the deputy director of the joint research institute in Signal and Image Processing (ERP-SIP) with Edinburgh University. He is also currently 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 15 years experience in 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. He has a long history of successful collaborations with other leading researchers in Europe through a number of European Research Projects (ALIVE, Autotracker, Amason, 2005, FreeSubNet 2008, Trident, 2010, Eurathlon 2012) totaling over £1.5M of research funding. He had also been working closely with MOD and DSTL on defense related projects and secured a number of EPSRC projects in the robotics and signal processing areas. He was recently awarded a programme grant in Signal Processing for the Networked battle space in collaboration with Edinburgh University and is leading the research in the maritime domain. He created the first European Competition in Underwater Robotics for autonomous systems in 2006, with support from EPSRC and MOD and has led this effort since in collaboration with the NATO Undersea Research Centre. He has since been awarded and European Union Funded project (Eurathlon) to develop a real-world competition for disaster relief covering the air, land and sea domains.

In parallel, Professor Petillot has a unique track record in technology transfer and engagement with industry. He co-founded SeeByte Ltd in 2001 and led the transitioning of research, technology and personnel from the University to the company. Of note were the successful transfer of the Autotracker EU funded project, now a product in SeeByte ltd sold worldwide, the transfer of MOD funded collaborative framework for multi-vehicle collaboration, evaluated by the US Navy under their Foreign Competitive Technology framework and now a product sold to the US and UK Navies.

Keywords

  • TC Hydraulic engineering. Ocean engineering
  • Electronics
  • Information & Communication Technology
  • Marine Renewables
  • Oil & Gas
  • Robotics & Autonomous Systems

Fingerprint Dive into the research topics where Yvan Petillot is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Sonar Engineering & Materials Science
Autonomous underwater vehicles Engineering & Materials Science
Robotics Engineering & Materials Science
Robots Engineering & Materials Science
Target tracking Engineering & Materials Science
Sensors Engineering & Materials Science
sonar Earth & Environmental Sciences
Navigation Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1992 2019

AUV Position Tracking Control Using End-to-End Deep Reinforcement Learning

Carlucho, I., De Paula, M., Wang, S., Menna, B. V., Petillot, Y. & Acosta, G. G., 10 Jan 2019, OCEANS 2018 MTS/IEEE Charleston. IEEE, 8604791. (OCEANS MTS/IEEE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Autonomous underwater vehicles
Reinforcement learning
Navigation
Dynamic models
Robotics

Exploring Interaction with Remote Autonomous Systems using Conversational Agents

Robb, D. A., Lopes, J., Padilla, S., Laskov, A., Garcia, F. J. C., Liu, X., Scharff Willners, J., Valeyrie, N., Lohan, K., Lane, D., Patron, P., Petillot, Y., Chantler, M. J. & Hastie, H., 18 Jun 2019, DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference. ACM, p. 1543-1556 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Robots
Offshore wind turbines
Transparency
Engineers
User centered design

Global Localization with Object-Level Semantics and Topology

Liu, Y., Petillot, Y., Lane, D. & Wang, S., 12 Aug 2019, 2019 International Conference on Robotics and Automation (ICRA). IEEE, p. 4909-4915 7 p. (International Conference on Robotics and Automation (ICRA)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Semantics
Topology
Navigation
Experiments

Kinodynamic Path Planning for Following and Tracking Vehicles

Scharff Willners, J., Petillot, Y. R., Patron, P. & Gonzalez-Adell, D., 10 Jan 2019, OCEANS 2018 MTS/IEEE Charleston. IEEE, 8604846. (OCEANS Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Motion planning
navigation aid
communication
Autonomous underwater vehicles
autonomous underwater vehicle

Learning and Composing Primitive Skills for Dual-Arm Manipulation

Pairet, È., Ardón, P., Mistry, M. & Petillot, Y., 28 Jun 2019, Towards Autonomous Robotic Systems: TAROS 2019. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Springer, p. 65-77 13 p. (Lecture Notes in Computer Science; vol. 11649).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Manipulation
Manipulators
Teaching
Robotics
Demonstrations

Prizes

Royal Society Industry Fellowship - SeeByte

Yvan Petillot (Recipient), May 2013

Prize: Fellowship awarded competitively