@inproceedings{Flynn2009,
  abstract = "Object recognition is a well studied field of computer vision, and has been applied with success to a variety of robotics applications. However, little research has been done towards applying pattern recognition techniques to robotic search and rescue. This paper describes the development of an object recognition system for robotic search and rescue within the USARSim simulator, based on the algorithm of Viola and Jones. After an introduction to the specifics of the object recognition method used, we give a general overview of how we integrate our real-time object recognition into our controller software. Work so far has focused on victims’ heads (frontal and profile views) as well as common objects such as chairs and plants. We compare the results of our detection system with those of USARSim’s existing simulated victim sensor, and discuss the relevance to real search and rescue robot systems.",
  author = "Helen Flynn, Julian de Hoog, and Stephen Cameron",
  booktitle = "IEEE/RSJ International Conference on Intelligent Systems and Robots (IROS)",
  location = "St. Louis, USA",
  month = "October",
  title = "Integrating Automated Object Detection into Mapping in USARSim",
  url = "http://www.comlab.ox.ac.uk/julian.dehoog/publications/2009_IROS_ObjectDetectionInUSARSim.pdf",
  year = "2009",
}


    
      @inproceedings{deHoog2009,
  abstract = "Thanks to advances in both computer science and engineering, the divide between robotics and multi-agent systems is shrinking. Robots are capable of performing an ever wider range of tasks, and there is an increasing need for solutions to high-level problems such as multi-agent coordination. In this paper we examine the problem of finding a robust exploration strategy for a team of mobile robots that takes into account communication limitations.We propose four performance metrics to evaluate and compare existing multi-robot exploration algorithms, and present a role-based approach in which robots either act as explorers or as relays. The result is a complete exploration of the environment in which information is efficiently returned to a central command centre, which is particularly applicable to the domain of rescue robotics.",
  author = "Julian de Hoog, Stephen Cameron and Arnoud Visser",
  booktitle = "International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE)",
  location = "Athens, Greece",
  month = "November",
  title = "Role-Based Autonomous Multi-Robot Exploration",
  url = "http://www.comlab.ox.ac.uk/julian.dehoog/publications/2009_COGNITIVE_RoleBasedExploration.pdf",
  year = "2009",
}


    
      @article{skone_09,
  author = "Gwyn Skone and Irina Voiculescu and Stephen Cameron",
  doi = "10.1007/s10822-009-9296-x",
  issn = "0920-654X (Print) 1573-4951 (Online)",
  journal = "Journal of Computer-Aided Molecular Design",
  keywords = "ligand docking, empirical scoring function, structure-based drug design, virtual screening, early rejection",
  note = "To appear in print.",
  title = "Knowing When To Give Up: Early-Rejection Stratagems in High-Throughput Virtual Screening",
  url = "http://www.springerlink.com/content/p2w5g1020p665115/fulltext.pdf",
  year = "2009",
}


    
      @inproceedings{gvcispa09,
  author = "Stuart Golodetz, Irina Voiculescu and Stephen Cameron",
  booktitle = "Proceedings of ISPA 2009",
  location = "Salzburg, Austria",
  month = "September",
  title = "Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests",
  url = "http://dphil.gxstudios.net/golodetz-ISPA09.pdf",
  year = "2009",
}


    
      @inproceedings{golodetzhsi09,
  author = "Stuart Golodetz, Irina Voiculescu, Stephen Cameron",
  booktitle = "Proceedings of HSI 2009",
  editor = "Lucia Lo Bello and Giancarlo Iannizzotto",
  isbn = "978-1-4244-3960-7",
  keywords = "Decision Support Systems, Information Visualization, Knowledge Based Systems",
  lccn = "2009900916",
  location = "Catania, Italy",
  month = "May",
  note = "Best Paper Award (Telemedicine and e-Health)",
  pages = "116-119",
  title = "Progress on a Decision-Support System for Abdominal CT Scans (Work-in-Progress Paper)",
  url = "http://dphil.gxstudios.net/golodetz-HSI09.pdf",
  year = "2009",
}


    
      @inproceedings{psp08,
  author = "Jie Ma and Stephen Cameron",
  booktitle = "Proceedings of RoboCup 2008: Robot Soccer World Cup XII, Lecture Notes in Artificial Intelligence",
  note = "to appear",
  publisher = "Springer",
  title = "Combining Policy Search with Planning in Multi-agent Cooperation",
  url = "http://web.comlab.ox.ac.uk/people/Jie.Ma/ROBOCUP2008_0052.pdf",
  year = "2009",
}


    
      @inproceedings{deHoog2008,
  abstract = "Recent advances in robotics and computer science mean that it is now possible to use teams of robots for many real-world applications. One very important application is robotic search-and-rescue. Robots are highly suitable for search-and-rescue tasks since they may be deployed in dangerous and toxic environments without putting human responders at risk. Initial uses of rescue robots, such as during rescue efforts following the 2001 collapse of the World Trade Centre in New York, have highlighted the fact that many improvements are still required if robots are to provide extensive assistance in search-and-rescue scenarios. While much effort is going into development of more robust and mobile robot platforms, it is also necessary to develop advanced methods for multi-robot coordination and practical user interfaces for humans to control the robots. Here we describe an approach being developed jointly by Amsterdam’s Intelligent Systems Laboratory and the Oxford University Computing Laboratory that integrates advanced techniques from a variety of fields such as mapping, localization, exploration, communication, navigation and human-robot interface design. All research reported here is performed using the USARSim simulator.",
  author = "Julian de Hoog, Stephen Cameron and Arnoud Visser",
  booktitle = "Proceedings of the Oxford University Computing Laboratory Student Conference",
  location = "Oxford, UK",
  month = "October",
  title = "Robotic Search-and-Rescue: An Integrated Approach",
  url = "http://www.comlab.ox.ac.uk/julian.dehoog/publications/2008_ComlabConf_RoboticSearchAndRescue.pdf",
  year = "2008",
}


    
      @misc{gvcposter08,
  author = "Stuart Golodetz, Irina Voiculescu and Stephen Cameron",
  month = "September",
  note = "Poster (Annual Oxford Biomedical Imaging Festival - http://www.imaging.ox.ac.uk/activities/annual-festival)",
  title = "3D Visualization of Abdominal CT Scans using Morphological Segmentation Techniques",
  url = "http://dphil.gxstudios.net/3dvisposter.pdf",
  year = "2008",
}


    
      @inproceedings{golodetzcimi08,
  author = "Stuart Golodetz, Irina Voiculescu and Stephen Cameron",
  booktitle = "Proceedings of CSTST 2008",
  copyright = "ACM 978-1-60558-046-3/08/0003",
  location = "Cergy-Pontoise, France",
  month = "October",
  note = "Best Workshop Paper Award",
  pages = "432-7",
  title = "Region Analysis of Abdominal CT Scans using Image Partition Forests",
  url = "http://dphil.gxstudios.net/golodetz-CIMI08.pdf",
  year = "2008",
}


    
      @conference{skone_08,
  author = "Gwyn Skone and Stephen Cameron and Irina Voiculescu",
  booktitle = "German Conference on Bioinformatics",
  location = "Dresden",
  month = "September",
  title = "Basic Strategies for Molecular Docking with Scoring Functions",
  year = "2008",
}


    
      @inproceedings{gvc07,
  author = "Stuart Golodetz, Irina Voiculescu and Stephen Cameron",
  booktitle = "Proceedings of FBIT 2007",
  location = "Korea",
  month = "October",
  title = "A Proposed Decision-Support System for (Renal) Cancer Imaging",
  url = "http://dphil.gxstudios.net/golodetz-RenalCancerDecisionSupport.pdf",
  year = "2007",
}


    
      @misc{fbit-skone-cameron,
  abstract = "The sequencing of the human genome and subsequent increase in understanding of the processes of the human body have brought great expansion in the scope of therapeutic drug applications. In the last year, well-publicised reports of possible treatments for diseases such as Alzheimer's, Huntington's, and breast cancer have been seen; the common theme to these afflictions (and many others) is that they are caused or sustained by certain proteins. These molecules are of central importance to biochemistry. This paper seeks to demonstrate how computer science can be and has been of benefit to research in this field. Firstly, an introduction to the fundamental principles of protein structure and behaviour is given. With this foundation prepared, the basic problems in computational biochemistry (folding, alignment, annotation, and docking) are summarized. Applications of solutions to the above problems are varied, but we focus on one of much interest worldwide: that of rational drug development. This topic is described, with illustrations of recent projects at both desktop and globally-distributed scales. In particular, the use of the FFT for convolution-based correlation scoring is outlined. An implementation of a docking program employing an established FFT algorithm is presented. The program defines simple Java classes for representing proteins and other molecules, and also an interface for docking algorithms. This permits several algorithms to be applied in turn to a pair of molecules, each progressively improving the quality of docking. An additional refinement method is introduced to this framework. Besides the limitations of the FFT method, this work has highlighted problems with using Java for substantial molecular processing.",
  author = "G. Skone and S. Cameron",
  journal = "Frontiers in the Convergence of Bioscience and Information Technologies",
  language = "en-gb",
  publisher = "IEEE",
  title = "Protein Structure Computation",
  year = "2007",
}