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Journal Articles
- 2024
[j45]Sergi Molina Mellado
, Anna Mannucci, Martin Magnusson, Daniel Adolfsson, Henrik Andreasson, Mazin Hamad, Saeed Abdolshah, Ravi Teja Chadalavada, Luigi Palmieri, Timm Linder, Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Marc Hanheide, Manuel Fernández-Carmona, Grzegorz Cielniak, Tom Duckett, Federico Pecora, Simon Bokesand, Kai O. Arras, Sami Haddadin, Achim J. Lilienthal:
The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots. IEEE Robotics Autom. Mag. 31(3): 48-59 (2024)- 2022
- [j44]Sergi Molina Mellado, Grzegorz Cielniak, Tom Duckett:
Robotic Exploration for Learning Human Motion Patterns. IEEE Trans. Robotics 38(2): 1304-1318 (2022) - 2020
- [j43]Zhi Yan, Tom Duckett, Nicola Bellotto:
Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods. Auton. Robots 44(2): 147-164 (2020) - [j42]Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager, Tom Duckett, Markus Vincze, Nicola Bellotto:
Robot perception of static and dynamic objects with an autonomous floor scrubber. Intell. Serv. Robotics 13(3): 403-417 (2020) - [j41]Petra Bosilj, Erchan Aptoula, Tom Duckett, Grzegorz Cielniak:
Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture. J. Field Robotics 37(1): 7-19 (2020) - [j40]Jaime Pulido Fentanes, Amir Badiee, Tom Duckett, Jonathan Evans, Simon Pearson, Grzegorz Cielniak:
Kriging-based robotic exploration for soil moisture mapping using a cosmic-ray sensor. J. Field Robotics 37(1): 122-136 (2020) - 2019
- [j39]Tomás Krajník, Tomás Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Óscar Martínez Mozos, George Broughton, Tom Duckett:
Warped Hypertime Representations for Long-Term Autonomy of Mobile Robots. IEEE Robotics Autom. Lett. 4(4): 3310-3317 (2019) - [j38]Cheng Zhao, Li Sun, Zhi Yan, Gerhard Neumann, Tom Duckett, Rustam Stolkin:
Learning Kalman Network: A deep monocular visual odometry for on-road driving. Robotics Auton. Syst. 121 (2019) - 2018
- [j37]Petra Bosilj, Tom Duckett, Grzegorz Cielniak:
Connected attribute morphology for unified vegetation segmentation and classification in precision agriculture. Comput. Ind. 98: 226-240 (2018) - [j36]Anestis Zaganidis, Li Sun, Tom Duckett, Grzegorz Cielniak:
Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration. IEEE Robotics Autom. Lett. 3(4): 2942-2949 (2018) - [j35]Petra Bosilj, Tom Duckett, Grzegorz Cielniak:
Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture. IEEE Robotics Autom. Lett. 3(4): 2950-2956 (2018) - [j34]Jaime Pulido Fentanes, Iain Gould, Tom Duckett, Simon Pearson, Grzegorz Cielniak:
3-D Soil Compaction Mapping Through Kriging-Based Exploration With a Mobile Robot. IEEE Robotics Autom. Lett. 3(4): 3066-3072 (2018) - [j33]Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett:
Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data. IEEE Robotics Autom. Lett. 3(4): 3749-3756 (2018) - [j32]Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník:
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. IEEE Robotics Autom. Lett. 3(4): 4023-4030 (2018) - [j31]Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide:
Introduction to the Special Issue on AI for Long-Term Autonomy. IEEE Robotics Autom. Lett. 3(4): 4431-4434 (2018) - [j30]Cheng Zhao, Li Sun, Pulak Purkait, Tom Duckett, Rustam Stolkin:
Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network. Sensors 18(9): 3099 (2018) - 2017
- [j29]Keerthy Kusumam, Tomás Krajník, Simon Pearson, Tom Duckett, Grzegorz Cielniak:
3D-vision based detection, localization, and sizing of broccoli heads in the field. J. Field Robotics 34(8): 1505-1518 (2017) - [j28]Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017) - [j27]João Machado Santos, Tomás Krajník, Tom Duckett:
Spatio-temporal exploration strategies for long-term autonomy of mobile robots. Robotics Auton. Syst. 88: 116-126 (2017) - [j26]Tomás Krajník, Pablo de Cristóforis, Keerthy Kusumam, Peer Neubert, Tom Duckett:
Image features for visual teach-and-repeat navigation in changing environments. Robotics Auton. Syst. 88: 127-141 (2017) - [j25]Tom Duckett, Adriana Tapus, Nicola Bellotto:
Special Issue on the Seventh European Conference on Mobile Robots (ECMR'15). Robotics Auton. Syst. 91: 348 (2017) - [j24]Tomás Krajník, Jaime Pulido Fentanes, João Machado Santos, Tom Duckett:
FreMEn: Frequency Map Enhancement for Long-Term Mobile Robot Autonomy in Changing Environments. IEEE Trans. Robotics 33(4): 964-977 (2017) - 2016
- [j23]João Machado Santos, Tomás Krajník, Jaime Pulido Fentanes, Tom Duckett:
Lifelong Information-Driven Exploration to Complete and Refine 4-D Spatio-Temporal Maps. IEEE Robotics Autom. Lett. 1(2): 684-691 (2016) - 2014
- [j22]Tomás Krajník, Matías Alejandro Nitsche, Jan Faigl, Petr Vanek, Martin Saska, Libor Preucil, Tom Duckett, Marta Mejail:
A Practical Multirobot Localization System. J. Intell. Robotic Syst. 76(3-4): 539-562 (2014) - 2013
- [j21]Tom Duckett, Achim J. Lilienthal:
Editorial. Robotics Auton. Syst. 61(10): 1049-1050 (2013) - [j20]Grzegorz Cielniak, Nicola Bellotto, Tom Duckett:
Integrating Mobile Robotics and Vision With Undergraduate Computer Science. IEEE Trans. Educ. 56(1): 48-53 (2013) - 2012
- [j19]Olivier Szymanezyk, Tom Duckett, Patrick Dickinson:
Agent-Based Crowd Simulation in Airports Using Games Technology. Trans. Comput. Collect. Intell. 8: 192-213 (2012) - 2011
- [j18]Feras Dayoub, Grzegorz Cielniak, Tom Duckett:
Long-term experiments with an adaptive spherical view representation for navigation in changing environments. Robotics Auton. Syst. 59(5): 285-295 (2011) - 2010
- [j17]Grzegorz Cielniak, Tom Duckett, Achim J. Lilienthal:
Data association and occlusion handling for vision-based people tracking by mobile robots. Robotics Auton. Syst. 58(5): 435-443 (2010) - 2009
- [j16]Peter Biber, Tom Duckett:
Experimental Analysis of Sample-Based Maps for Long-Term SLAM. Int. J. Robotics Res. 28(1): 20-33 (2009) - 2008
- [j15]Martin Persson, Tom Duckett, Achim J. Lilienthal:
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping. Robotics Auton. Syst. 56(6): 483-492 (2008) - [j14]Henrik Andreasson, Tom Duckett, Achim J. Lilienthal:
A Minimalistic Approach to Appearance-Based Visual SLAM. IEEE Trans. Robotics 24(5): 991-1001 (2008) - 2007
- [j13]Martin Magnusson, Achim J. Lilienthal, Tom Duckett:
Scan registration for autonomous mining vehicles using 3D-NDT. J. Field Robotics 24(10): 803-827 (2007) - [j12]Martin Persson, Tom Duckett, Achim J. Lilienthal:
Virtual sensors for human concepts - Building detection by an outdoor mobile robot. Robotics Auton. Syst. 55(5): 383-390 (2007) - [j11]Henrik Andreasson, André Treptow, Tom Duckett:
Self-localization in non-stationary environments using omni-directional vision. Robotics Auton. Syst. 55(7): 541-551 (2007) - 2006
- [j10]André Treptow, Grzegorz Cielniak, Tom Duckett:
Real-time people tracking for mobile robots using thermal vision. Robotics Auton. Syst. 54(9): 729-739 (2006) - [j9]Hashem Tamimi, Henrik Andreasson, André Treptow, Tom Duckett, Andreas Zell:
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT. Robotics Auton. Syst. 54(9): 758-765 (2006) - 2005
- [j8]Udo Frese, Per Larsson, Tom Duckett:
A multilevel relaxation algorithm for simultaneous localization and mapping. IEEE Trans. Robotics 21(2): 196-207 (2005) - 2004
- [j7]Achim J. Lilienthal, Tom Duckett:
Experimental analysis of gas-sensitive Braitenberg vehicles. Adv. Robotics 18(8): 817-834 (2004) - [j6]Grzegorz Cielniak, Tom Duckett:
People recognition by mobile robots. J. Intell. Fuzzy Syst. 15(1): 21-27 (2004) - [j5]Achim J. Lilienthal, Tom Duckett:
Building gas concentration gridmaps with a mobile robot. Robotics Auton. Syst. 48(1): 3-16 (2004) - 2002
- [j4]Tom Duckett, Stephen Marsland, Jonathan Shapiro:
Fast, On-Line Learning of Globally Consistent Maps. Auton. Robots 12(3): 287-300 (2002) - 2001
- [j3]Tom Duckett, Ulrich Nehmzow:
Mobile robot self-localisation using occupancy histograms and a mixture of Gaussian location hypotheses. Robotics Auton. Syst. 34(2-3): 117-129 (2001) - [j2]Stephen Marsland, Ulrich Nehmzow, Tom Duckett:
Learning to select distinctive landmarks for mobile robot navigation. Robotics Auton. Syst. 37(4): 241-260 (2001) - 1998
- [j1]Tom Duckett, Ulrich Nehmzow:
Mobile robot self-localisation and measurement of performance in middle-scale environments. Robotics Auton. Syst. 24(1-2): 57-69 (1998)
Conference and Workshop Papers
- 2021
- [c68]Zhicheng Zhou, Cheng Zhao, Daniel Adolfsson, Songzhi Su, Yang Gao, Tom Duckett, Li Sun:
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. ICRA 2021: 5654-5660 - [c67]Cheng Zhao, Li Sun, Tomás Krajník, Tom Duckett, Zhi Yan:
Monocular Teach-and-Repeat Navigation using a Deep Steering Network with Scale Estimation. IROS 2021: 2613-2619 - [c66]Li Sun, Marwan Taher, Christopher Wild, Cheng Zhao, Yu Zhang, Filip Majer, Zhi Yan, Tomás Krajník, Tony J. Prescott, Tom Duckett:
Robust and Long-term Monocular Teach and Repeat Navigation using a Single-experience Map. IROS 2021: 2635-2642 - [c65]Karoline Heiwolt, Tom Duckett, Grzegorz Cielniak:
Deep Semantic Segmentation of 3D Plant Point Clouds. TAROS 2021: 36-45 - 2020
- [c64]Justin Le Louedec, Hector A. Montes, Tom Duckett, Grzegorz Cielniak:
Segmentation and detection from organised 3D point clouds: a case study in broccoli head detection. CVPR Workshops 2020: 285-293 - [c63]Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. ICRA 2020: 4386-4392 - [c62]Hector A. Montes, Justin Le Louedec, Grzegorz Cielniak, Tom Duckett:
Real-time detection of broccoli crops in 3D point clouds for autonomous robotic harvesting. IROS 2020: 10483-10488 - [c61]Tomás Vintr, Zhi Yan, Kerem Eyisoy, Filip Kubis, Jan Blaha, Jirí Ulrich, Chittaranjan Srinivas Swaminathan, Sergi Molina Mellado, Tomasz Kucner, Martin Magnusson, Grzegorz Cielniak, Jan Faigl, Tom Duckett, Achim J. Lilienthal, Tomás Krajník:
Natural Criteria for Comparison of Pedestrian Flow Forecasting Models. IROS 2020: 11197-11204 - 2019
- [c60]Tomás Vintr, Zhi Yan, Tom Duckett, Tomás Krajník:
Spatio-temporal representation for long-term anticipation of human presence in service robotics. ICRA 2019: 2620-2626 - [c59]Sergi Molina Mellado, Grzegorz Cielniak, Tom Duckett:
Go with the Flow: Exploration and Mapping of Pedestrian Flow Patterns from Partial Observations. ICRA 2019: 9725-9731 - [c58]Anestis Zaganidis, Alexandros Zerntev, Tom Duckett, Grzegorz Cielniak:
Semantically Assisted Loop Closure in SLAM Using NDT Histograms. IROS 2019: 4562-4568 - [c57]Petra Bosilj, Iain Gould, Tom Duckett, Grzegorz Cielniak:
Pattern Spectra from Different Component Trees for Estimating Soil Size Distribution. ISMM 2019: 415-427 - [c56]Hector A. Montes, Grzegorz Cielniak, Tom Duckett:
Model-Based 3D Point Cloud Segmentation for Automated Selective Broccoli Harvesting. TAROS (1) 2019: 448-459 - 2018
- [c55]Li Sun, Zhi Yan, Sergi Molina Mellado, Marc Hanheide, Tom Duckett:
3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data. ICRA 2018: 1-7 - [c54]Cheng Zhao, Li Sun, Pulak Purkait, Tom Duckett, Rustam Stolkin:
Learning Monocular Visual Odometry with Dense 3D Mapping from Dense 3D Flow. IROS 2018: 6864-6871 - [c53]Zhi Yan, Li Sun, Tom Duckett, Nicola Bellotto:
Multisensor Online Transfer Learning for 3D LiDAR-Based Human Detection with a Mobile Robot. IROS 2018: 7635-7640 - [c52]Sergi Molina Mellado, Grzegorz Cielniak, Tomás Krajník, Tom Duckett:
Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments. TAROS 2018: 135-146 - 2017
- [c51]Daniele Liciotti, Emanuele Frontoni, Primo Zingaretti, Nicola Bellotto, Tom Duckett:
HMM-based Activity Recognition with a Ceiling RGB-D Camera. ICPRAM 2017: 567-574 - [c50]Zhi Yan, Tom Duckett, Nicola Bellotto:
Online learning for human classification in 3D LiDAR-based tracking. IROS 2017: 864-871 - [c49]Anestis Zaganidis, Martin Magnusson, Tom Duckett, Grzegorz Cielniak:
Semantic-assisted 3D normal distributions transform for scan registration in environments with limited structure. IROS 2017: 4064-4069 - 2016
- [c48]Claudio Coppola, Tomás Krajník, Tom Duckett, Nicola Bellotto:
Learning Temporal Context for Activity Recognition. ECAI 2016: 107-115 - [c47]Keerthy Kusumam, Tomás Krajník, Simon Pearson, Grzegorz Cielniak, Tom Duckett:
Can you pick a broccoli? 3D-vision based detection and localisation of broccoli heads in the field. IROS 2016: 646-651 - [c46]Tomás Krajník, Jaime Pulido Fentanes, Marc Hanheide, Tom Duckett:
Persistent localization and life-long mapping in changing environments using the Frequency Map Enhancement. IROS 2016: 4558-4563 - [c45]Miroslav Kulich, Tomás Krajník, Libor Preucil, Tom Duckett:
To Explore or to Exploit? Learning Humans' Behaviour to Maximize Interactions with Them. MESAS 2016: 48-63 - 2015
- [c44]Tomás Krajník, Pablo de Cristóforis, Matías Alejandro Nitsche, Keerthy Kusumam, Tom Duckett:
Image features and seasons revisited. ECMR 2015: 1-7 - [c43]Tomás Krajník, João Machado Santos, Tom Duckett:
Life-long spatio-temporal exploration of dynamic environments. ECMR 2015: 1-8 - [c42]Tomás Krajník, Miroslav Kulich, Lenka Mudrová, Rares Ambrus, Tom Duckett:
Where's waldo at time t ? using spatio-temporal models for mobile robot search. ICRA 2015: 2140-2146 - 2014
- [c41]Tomás Krajník, Jaime Pulido Fentanes, Grzegorz Cielniak, Christian Dondrup, Tom Duckett:
Spectral analysis for long-term robotic mapping. ICRA 2014: 3706-3711 - [c40]Tomás Krajník, Jaime Pulido Fentanes, Óscar Martínez Mozos, Tom Duckett, Johan Ekekrantz, Marc Hanheide:
Long-term topological localisation for service robots in dynamic environments using spectral maps. IROS 2014: 4537-4542 - 2013
- [c39]Feras Dayoub, Grzegorz Cielniak, Tom Duckett:
Eight Weeks of Episodic Visual Navigation Inside a Non-stationary Environment Using Adaptive Spherical Views. FSR 2013: 379-392 - [c38]Tomás Krajník, Matías Nitsche, Jan Faigl, Tom Duckett, Marta Mejail, Libor Preucil:
External localization system for mobile robotics. ICAR 2013: 1-6 - [c37]Francisco Angel Moreno, Grzegorz Cielniak, Tom Duckett:
Evaluation of Laser Range-Finder Mapping for Agricultural Spraying Vehicles. TAROS 2013: 210-221 - 2011
- [c36]Olivier Szymanezyk, Patrick Dickinson, Tom Duckett:
From Individual Characters to Large Crowds: Augmenting the Believability of Open-World Games through Exploring Social Emotion in Pedestrian Groups. DiGRA Conference 2011 - [c35]Feras Dayoub, Grzegorz Cielniak, Tom Duckett:
A Sparse Hybrid Map for Vision-Guided Mobile Robots. ECMR 2011: 213-218 - [c34]Olivier Szymanezyk, Patrick Dickinson, Tom Duckett:
Towards Agent-Based Crowd Simulation in Airports Using Games Technology. KES-AMSTA 2011: 524-533 - [c33]Feras Dayoub, Grzegorz Cielniak, Tom Duckett:
Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots. TAROS 2011: 400-401 - 2010
- [c32]Marwan Shaker, Mark N. R. Smith, Shigang Yue, Tom Duckett:
Vision-Based Landing of a Simulated Unmanned Aerial Vehicle with Fast Reinforcement Learning. EST 2010: 183-188 - [c31]Michael Barnes, Grzegorz Cielniak, Tom Duckett:
Minimalist AdaBoost for Blemish Identification in Potatoes. ICCVG (1) 2010: 209-216 - 2009
- [c30]Feras Dayoub, Tom Duckett, Grzegorz Cielniak:
An Adaptive Spherical View Representation for Navigation in Changing Environments. ECMR 2009: 1-6 - [c29]Marwan R. Shaker, Shigang Yue, Tom Duckett:
Vision-based reinforcement learning using approximate policy iteration. ICAR 2009: 1-6 - 2008
- [c28]Feras Dayoub, Tom Duckett:
An adaptive appearance-based map for long-term topological localization of mobile robots. IROS 2008: 3364-3369 - 2007
- [c27]Martin Persson, Tom Duckett, Christoffer Valgren, Achim J. Lilienthal:
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection. CIRA 2007: 236-242 - [c26]Henrik Andreasson, Tom Duckett, Achim J. Lilienthal:
Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity. ICRA 2007: 4096-4101 - [c25]Christoffer Valgren, Tom Duckett, Achim J. Lilienthal:
Incremental Spectral Clustering and Its Application To Topological Mapping. ICRA 2007: 4283-4288 - [c24]Grzegorz Cielniak, Tom Duckett, Achim J. Lilienthal:
Improved data association and occlusion handling for vision-based people tracking by mobile robots. IROS 2007: 3436-3441 - 2006
- [c23]Jun Li, Achim J. Lilienthal, Tomás Martínez-Marín, Tom Duckett:
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning. IROS 2006: 2656-2662 - [c22]Christoffer Valgren, Achim J. Lilienthal, Tom Duckett:
Incremental Topological Mapping Using Omnidirectional Vision. IROS 2006: 3441-3447 - 2005
- [c21]Martin Persson, Mats Sandvall, Tom Duckett:
Automatic building detection from aerial images for mobile robot mapping. CIRA 2005: 273-278 - [c20]Peter Biber, Sven Fleck, Tom Duckett:
3D Modeling of Indoor Environments for a Robotic Security Guard. CVPR Workshops 2005: 124 - [c19]Peter Biber, Sven Fleck, Florian Busch, Michael Wand, Tom Duckett, Wolfgang Straßer:
3D modeling of indoor environments by a mobile platform with a laser scanner and panoramic camera. EUSIPCO 2005: 1-4 - [c18]Henrik Andreasson, André Treptow, Tom Duckett:
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter. ICRA 2005: 3348-3353 - [c17]Tomás Martínez-Marín, Tom Duckett:
Fast Reinforcement Learning for Vision-guided Mobile Robots. ICRA 2005: 4170-4175 - [c16]André Treptow, Grzegorz Cielniak, Tom Duckett:
Active people recognition using thermal and grey images on a mobile security robot. IROS 2005: 2103-2108 - [c15]Peter Biber, Tom Duckett:
Dynamic Maps for Long-Term Operation of Mobile Service Robots. Robotics: Science and Systems 2005: 17-24 - 2004
- [c14]Peter Biber, Henrik Andreasson, Tom Duckett, Andreas Schilling:
3D modeling of indoor environments by a mobile robot with a laser scanner and panoramic camera. IROS 2004: 3430-3435 - [c13]Tomás Martínez-Marín, Tom Duckett:
Robot docking by reinforcement learning in a visual servoing framework. RAM 2004: 159-164 - 2003
- [c12]Achim J. Lilienthal, Tom Duckett:
Approaches to Gas Source Tracingand Declaration by Pure Chemo-Tropotaxis. AMS 2003: 161-171 - [c11]Udo Frese, Tom Duckett:
A Multigrid Approach for Acceleration Relaxation-Based SLAM. AMS 2003: 192-202 - [c10]Grzegorz Cielniak, Mihajlo Miladinovic, Daniel Hammarin, Linus Goranson, Achim J. Lilienthal, Tom Duckett:
Appearance-based Tracking of Persons with an Omnidirectional Vision Sensor. CVPR Workshops 2003: 84 - [c9]Tom Duckett:
A genetic algorithm for simultaneous localization and mapping. ICRA 2003: 434-439 - [c8]Achim J. Lilienthal, Tom Duckett:
Creating gas concentration gridmaps with a mobile robot. IROS 2003: 118-123 - [c7]Grzegorz Cielniak, Tom Duckett:
Person identification by mobile robots in indoor environments. ROSE 2003 - [c6]Achim J. Lilienthal, Tom Duckett:
An absolute positioning system for 100 euros. ROSE 2003 - [c5]Achim J. Lilienthal, Tom Duckett:
A stereo electronic nose for a mobile inspection robot. ROSE 2003 - 2001
- [c4]Tom Duckett, Mikael Axelsson, Alessandro Saffiotti:
Learning to Locate an Odour Source with a Mobile Robot. ICRA 2001: 4017-4022 - 2000
- [c3]Tom Duckett, Ulrich Nehmzow:
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots. AAAI/IAAI 2000: 826-831 - [c2]Tom Duckett, Stephen Marsland, Jonathan Shapiro:
Learning Globally Consistent Maps by Relaxation. ICRA 2000: 3841-3846 - 1999
- [c1]Tom Duckett, Ulrich Nehmzow:
Exploration of unknown environments using a compass, topological map and neural network. CIRA 1999: 312-317
Informal and Other Publications
- 2022
- [i14]Zhi Yan, Li Sun, Tomás Krajník, Tom Duckett, Nicola Bellotto:
Towards Long-term Autonomy: A Perspective from Robot Learning. CoRR abs/2212.12798 (2022) - 2021
- [i13]Zhicheng Zhou, Cheng Zhao, Daniel Adolfsson, Songzhi Su, Yang Gao, Tom Duckett, Li Sun:
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. CoRR abs/2103.12292 (2021) - 2020
- [i12]Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager, Tom Duckett, Markus Vincze, Nicola Bellotto:
Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber. CoRR abs/2002.10158 (2020) - [i11]Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. CoRR abs/2003.01875 (2020) - 2018
- [i10]Zhi Yan, Li Sun, Tom Duckett, Nicola Bellotto:
Multisensor Online Transfer Learning for 3D LiDAR-based Human Classification with a Mobile Robot. CoRR abs/1801.04137 (2018) - [i9]Cheng Zhao, Li Sun, Pulak Purkait, Tom Duckett, Rustam Stolkin:
Learning monocular visual odometry with dense 3D mapping from dense 3D flow. CoRR abs/1803.02286 (2018) - [i8]Jaime Pulido Fentanes, Iain Gould, Tom Duckett, Simon Pearson, Grzegorz Cielniak:
3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot. CoRR abs/1803.08069 (2018) - [i7]Tom Duckett, Simon Pearson, Simon Blackmore, Bruce Grieve:
Agricultural Robotics: The Future of Robotic Agriculture. CoRR abs/1806.06762 (2018) - [i6]Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett:
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data. CoRR abs/1807.00925 (2018) - [i5]Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník:
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. CoRR abs/1807.05196 (2018) - [i4]Tomás Krajník, Tomas Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Tom Duckett:
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots. CoRR abs/1810.04285 (2018) - [i3]Jaime Pulido Fentanes, Amir Badiee, Tom Duckett, Jonathan Evans, Simon Pearson, Grzegorz Cielniak:
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a Cosmic-Ray Sensor. CoRR abs/1811.05384 (2018) - 2017
- [i2]Li Sun, Zhi Yan, Sergi Molina Mellado, Marc Hanheide, Tom Duckett:
3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data. CoRR abs/1710.00126 (2017) - 2016
- [i1]Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR abs/1604.04384 (2016)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-09 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
