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- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- \PROGRAMMING" BY TEACHING: NEURAL NETWORK CONTROL IN THE
- Locating Objects Visually Using Opposing-Colour-Channel Coding
- 0 20 40 60 80 100 120 140 160 Number of Presentations
- Physically Embedded Genetic Algorithm Learning in Multi-Robot Scenarios: The PEGA algorithm
- On the Meaning of Computer Models of Robot-Environment Interaction
- Robotics and Autonomous Systems 55 (2007) 267275 www.elsevier.com/locate/robot
- Robotics and Autonomous Systems 24 (1998) 5769 Mobile robot self-localisation and measurement of performance
- The map concept in animal navigation Ronald Ranvaud and Ulrich Nehmzow
- Experiments in Competence Acquisition for Autonomous Mobile Robots
- Computer ScienceU n i v e r s i t y o f M a n c h e s t e r Autonomous Acquisition of
- A Proposal of a Methodology for the Analysis of Robot-Environment Interaction through System Identification
- Visual Attention and Novelty Detection: Experiments with Automatic Scale Selection
- Visual Task Identification Using Polynomial Models T. Kyriacou1
- Learning in Multi-Robot Scenarios through Physically Embedded Genetic Algorithms
- AAAI-2000 1 Performance Comparison of Landmark Recognition
- Computer Modelling of Pigeon Navigation according to the "Map and Compass"-Model
- Robotics and Autonomous Systems 55 (2007) 711719 www.elsevier.com/locate/robot
- Complex Robot Training Tasks through Bootstrapping System Identification
- Monocular Omnidirectional Vision based Robot Localisation and Chris Burbridge, Libor Spacek, Joan Condell, Ulrich Nehmzow
- Robotics and Autonomous Systems 34 (2001) 117129 Mobile robot self-localisation using occupancy histograms and a
- Experiments in Evidence Based Localisation for a Mobile Robot Tom Duckett and Ulrich Nehmzow
- Route training in mobile robotics through system identification
- Task Identification and Characterisation in Mobile Robotics
- Short Range Navigation Area
- Published at The Third Conference on Artificial General Intelligence, Lugano, March '10 1 Towards Automated Code Generation
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- Computer ScienceU n i v e r s i t y o f M a n c h e s t e r Selecting Landmarks from Sonar Scans
- A Model of Habituation Applied to Mobile Robots Stephen Marsland, Ulrich Nehmzow and Jonathan Shapiro
- Quantitative Analysis of Robot-Environment Interaction --
- Intermediate articleNavigation Ulrich Nehmzow, University of Essex, Colchester, UK
- Mobile Robotics: Research, Applications and Challenges
- \Meaning" through Clustering by Self-Organisation of Spatial and Temporal Information
- Ulrich Nehmzow Department of Computer Science
- Applications of Robot Training: Clearing, Cleaning, Surveillance
- ISSN 1361 -6161 Computer ScienceU n i v e r s i t y o f M a n c h e s t e r
- Robotics and Autonomous Systems 54 (2006) 766778 www.elsevier.com/locate/robot
- Achieving Rapid Adaptations in Robots by Means of External Tuition
- Robotics and Autonomous Systems 33 (2000) 223242 Robot navigation in the real world
- AISB Journal 1(4), c SSAISB, 2003 http://www.aisb.org.uk
- Is the Behaviour of a Mobile Robot Chaotic? Ulrich Nehmzow
- Visual Novelty Detection for Inspection Tasks using Mobile Robots Hugo Vieira Neto and Ulrich Nehmzow
- Robotics and Autonomous Systems 55 (2007) 693701 www.elsevier.com/locate/robot
- Simulating pigeon navigation ROSWITHA WILTSCHKO* & ULRICH NEHMZOW
- Comparing Robot Controllers Through System Identification
- Animal and Robot Navigation1 Ulrich Nehmzow
- Hugo Vieira Neto and Ulrich Nehmzow, Real-time Automated Visual Inspection using Mobile Robots,
- Welcome to TAROS 2009! Welcome to Derry, and welcome to TAROS 2009!
- ISSN 1361 -6161 Computer ScienceU n i v e r s i t y o f M a n c h e s t e r
- Application of Unsupervised Clustering to Complex Robot Training Ulrich Nehmzow1, Otar Akanyeti2 and Steve Billings3
- Middle Scale Robot Navigation -A Case Study Carl Owen and Ulrich Nehmzow
- Increasing Behavioural Repertoire in a Mobile Robot Ulrich Nehmzow , Tim Smithersz
- ISSN 1361 -6161 Computer ScienceU n i v e r s i t y o f M a n c h e s t e r
- Stephen Marsland, Ulrich Nehmzow and Jonathan Shapiro, On-line Novelty Detection for Autonomous Mobile Robots,
- Accepted for publication in H. Cruse, H. Ritter and J. Dean, Proc. Workshop \Prerational Intelligence in Robotics", Bielefeld 16.-20.5.1994
- SELF-LOCALISATION THROUGH SYSTEM IDENTIFICATION Ulrich Nehmzow
- Incremental PCA: An Alternative Approach for Novelty Detection
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- Walking Robots --A Survey and a Research Proposal Rob Knight and Ulrich Nehmzow
- GA Learning in Multi-Robot Scenarios: The PEGA algorithm
- Robotics and Autonomous Systems 53 (2005) 177193 Quantitative description of robotenvironment
- ISSN 1361 -6161 Computer ScienceU n i v e r s i t y o f M a n c h e s t e r
- Robotics and Autonomous Systems 24 (1998) 515 The scientific status of mobile robotics
- Operational time t (activity units) Short Range Naviation Learning
- Quantitative Description of Robot-Environment Interaction Using Chaos Theory1
- Novelty-Based Visual Inspection Using Mobile Robots Ulrich Nehmzow and Hugo Vieira Neto
- Object Localisation and Tracking Through Subsymbolic Classification Hugo Vieira Neto and Ulrich Nehmzow
