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PhD in Robotics and Computer Vision (University of Lincoln, Lincoln)
Dr Feras Dayoub is a Chief Investigator with the ARC Centre of Excellence for Robotic Vision and a Senior Lecturer with the Science and Engineering Faculty in Queensland University of Technology (QUT). His research interests are focused on the deployment of machine learning and computer vision on mobile robots in challenging environments. Feras worked with various types of real-world robotic applications, such as agrobotics as part of a Queensland DAF Agricultural Robotics Program in QUT, autonomous underwater vehicles (AUV) as the computer vision lead on the COTSBot project to protect the great barrier reef from crown-of-thorns starfish, unmanned aerial vehicles (UAV) as a team member in a project for assisted autonomy during the inspection of power infrastructure and mobile service robots as the postdoc lead in an ARC discovery project on lifelong robotic navigation using visual perception.
Projects (Chief investigator)
Additional information
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Certificate of appreciation in recognition of outstanding contribution to the 2019 QUT STEM Camp
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Centre Citizen
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Team Project.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2018
- Details
- Award for best-profile raising event in robotics and CV communities (2018).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2018
- Details
- Associated editor for the IEEE RA-L Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies (2018).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2018
- Details
- Associate Editor, IEEE Robotics and Automation Letters (RA-L)
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2016
- Details
- Finalist for the Australian Museum Eureka Prizes, Environmental Research, the CotsBot project.
- Type
- Funding Award
- Reference year
- 2016
- Details
- The people's choice vote in the Google Impact Challenge Australia.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2015
- Details
- QUT Vice Chancellor's Performance Award, 2015
- Hall D, Dayoub F, Skinner J, Zhang H, Miller D, Corke P, Carneiro G, Angelova A, Sünderhauf N, (2020) Probabilistic object detection: Definition and evaluation, Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) p1020-1029
- Talbot B, Dayoub F, Corke P, Wyeth G, (2020) Robot navigation in unseen spaces using an abstract map, IEEE Transactions on Cognitive and Developmental Systems
- Hall D, Dayoub F, Perez T, McCool C, (2018) A rapidly deployable classification system using visual data for the application of precision weed management, Computers and Electronics in Agriculture p107-120
- Miller D, Nicholson L, Dayoub F, Suenderhauf N, (2018) Dropout sampling for robust object detection in open-set conditions, Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) p3243-3249
- Sa I, Ge Z, Dayoub F, Upcroft B, Perez T, McCool C, (2016) DeepFruits: A fruit detection system using deep neural networks, Sensors p1-23
- Suenderhauf N, Dayoub F, Mcmahon S, Talbot B, Schulz R, Corke P, Wyeth G, Upcroft B, Milford M, (2016) Place categorization and semantic mapping on a mobile robot, Proceedings of the 2016 IEEE International Conference on Robotics and Automation p5729-5736
- McCool C, Sa I, Dayoub F, Lehnert C, Perez T, Upcroft B, (2016) Visual detection of occluded crop: For automated harvesting, Proceedings of the 2016 IEEE International Conference on Robotics and Automation p2506-2512
- Hall D, McCool C, Dayoub F, Suenderhauf N, Upcroft B, (2015) Evaluation of features for leaf classification in challenging conditions, Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision (WACV 2015) p797-804
- Suenderhauf N, Shirazi S, Jacobson A, Dayoub F, Pepperell E, Upcroft B, Milford M, (2015) Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free, Robotics: Science and Systems XI p1-10
- Dayoub F, Morris T, Upcroft B, Corke P, (2013) Vision-only autonomous navigation using topometric maps, Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems p1923-1929
- Title
- ARC Centre of Excellence for Robotic Vision (ACRV)
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- CE140100016
- Start year
- 2014
- Keywords
- Robotic Vision; Robotics; Computer Vision
- Reliable Deployment of Object Detector on Mobile Robots
PhD, Principal Supervisor
Other supervisors: Distinguished Professor Peter Corke, Associate Professor Niko Suenderhauf - Uncertainty approximation and Classification for Robotic Vision
PhD, Principal Supervisor
Other supervisors: Associate Professor Niko Suenderhauf - Uncertainty from Convolutional Neural Networks for Robotic Vision
PhD, Principal Supervisor
Other supervisors: Professor Michael Milford - Tackling Data Scarcity in the Re-identification Problem: the Case of Manta Rays Photo Re-identification
PhD, Associate Supervisor
Other supervisors: Dr Frederic Maire, Dr Mahsa Baktashmotlagh - Control Strategies for Reactive Mobile Manipulation
PhD, Associate Supervisor
Other supervisors: Distinguished Professor Peter Corke, Associate Professor Niko Suenderhauf, Dr Juxi Leitner - A Dynamic Planner for Object Assembly Tasks Based Learning the Spatial Relationships of its Parts from a Single Demonstration
PhD, Associate Supervisor
Other supervisors: Dr Frederic Maire