default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNick Hawes
Person information
- affiliation: University of Oxford, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j26]Alex Stephens
, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda:
Planning under uncertainty for safe robot exploration using Gaussian process prediction. Auton. Robots 48(6-7): 18 (2024)- [j25]Alex Stephens, Matthew Budd, Michal Staniaszek, Benoit Casseau, Paul Duckworth, Maurice F. Fallon, Nick Hawes, Bruno Lacerda:
Correction: Planning under uncertainty for safe robot exploration using gaussian process prediction. Auton. Robots 48(8): 25 (2024) - [j24]Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes:
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. J. Artif. Intell. Res. 79: 137-171 (2024) - [c94]Matthew Budd, Bruno Lacerda, Nick Hawes:
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. AAAI 2024: 20053-20060 - [c93]Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda:
Multi-Robot Allocation of Assistance from a Shared Uncertain Operator. AAMAS 2024: 400-408 - [c92]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 2024: 2444-2446 - [c91]Alex Stephens, Bruno Lacerda, Nick Hawes:
Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. ECAI 2024: 1214-1221 - [i31]Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes:
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. CoRR abs/2402.01370 (2024) - [i30]Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon:
Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization. CoRR abs/2404.02795 (2024) - [i29]Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda:
Monte Carlo Tree Search with Boltzmann Exploration. CoRR abs/2404.07732 (2024) - [i28]Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes:
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR abs/2404.10446 (2024) - [i27]Michal Staniaszek, Tobit Flatscher, Joseph Rowell, Hanlin Niu, Wenxing Liu, Yang You, Robert Skilton, Maurice F. Fallon, Nick Hawes:
AutoInspect: Towards Long-Term Autonomous Industrial Inspection. CoRR abs/2404.12785 (2024) - [i26]Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze:
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. CoRR abs/2408.08785 (2024) - [i25]Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster:
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. CoRR abs/2408.15099 (2024) - 2023
- [j23]Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt:
Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47(1): 121-138 (2023) - [j22]Ferdian Jovan, Milan Tomy, Nick Hawes, Jeremy L. Wyatt:
Correction: Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton. Robots 47(8): 1593 (2023) - [c90]Anna Gautier, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Multi-Unit Auctions for Allocating Chance-Constrained Resources. AAAI 2023: 11560-11568 - [c89]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Planning with Hidden Parameter Polynomial MDPs. AAAI 2023: 11963-11971 - [c88]Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. AAMAS 2023: 113-121 - [c87]Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes:
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. ECAI 2023: 590-597 - [c86]Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes:
Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR 2023: 1-7 - [c85]Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon:
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. ICRA 2023: 10125-10131 - [c84]Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda:
Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS 2023 - [c83]Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. NeurIPS 2023 - [i24]Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner:
DITTO: Offline Imitation Learning with World Models. CoRR abs/2302.03086 (2023) - [i23]Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning from Demonstration with Minimal Human Effort. CoRR abs/2306.09211 (2023) - [i22]Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR abs/2307.00633 (2023) - [i21]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster:
JaxMARL: Multi-Agent RL Environments in JAX. CoRR abs/2311.10090 (2023) - 2022
- [j21]Bruno Lacerda, Anna Gautier, Alex Rutherford, Alex Stephens, Charlie Street, Nick Hawes:
Decision-making under uncertainty for multi-robot systems. AI Commun. 35(4): 433-441 (2022) - [j20]Charlie Street, Sebastian Pütz, Manuel Mühlig, Nick Hawes, Bruno Lacerda:
Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Trans. Robotics 38(1): 262-280 (2022) - [c82]Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Planning for Risk-Aversion and Expected Value in MDPs. ICAPS 2022: 307-315 - [c81]Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. AAMAS 2022: 472-480 - [c80]Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes:
Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. AAMAS 2022: 1228-1236 - [c79]Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. CoRL 2022: 1189-1198 - [c78]Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Shared Autonomy Systems with Stochastic Operator Models. IJCAI 2022: 4614-4620 - [c77]Matthew Budd, Georgios Salavasidis, Izzat Karnarudzaman, Catherine A. Harris, Alexander B. Phillips, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Probabilistic Planning for AUV Data Harvesting from Smart Underwater Sensor Networks. IROS 2022: 12051-12057 - [c76]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes:
Unbiased Active Inference for Classical Control. IROS 2022: 12787-12794 - [c75]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS 2022 - [i20]Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes:
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. CoRR abs/2204.08035 (2022) - [i19]Marc Rigter, Bruno Lacerda, Nick Hawes:
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. CoRR abs/2204.12581 (2022) - [i18]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes:
Unbiased Active Inference for Classical Control. CoRR abs/2207.13409 (2022) - [i17]Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon:
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior. CoRR abs/2210.04067 (2022) - [i16]Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. CoRR abs/2212.00124 (2022) - 2021
- [j19]Catherine A. Harris, Nick Hawes, Richard Dearden:
Online plan modification in uncertain resource-constrained environments. Robotics Auton. Syst. 140: 103726 (2021) - [j18]Thomas Wright, Andrew West, Mauro Licata, Nick Hawes, Barry Lennox:
Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges. Robotics 10(3): 86 (2021) - [j17]Manolis Chiou, Nick Hawes, Rustam Stolkin:
Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots. ACM Trans. Hum. Robot Interact. 10(4): 37:1-37:34 (2021) - [c74]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. AAAI 2021: 11930-11938 - [c73]Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. CDC 2021: 5220-5226 - [c72]Alex Rutherford, Paul Duckworth, Nick Hawes, Bruno Lacerda:
Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes. ECMR 2021: 1-6 - [c71]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes:
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. ECC 2021: 1119-1125 - [c70]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA 2021: 4665-4671 - [c69]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. NeurIPS 2021: 1142-1154 - [c68]Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) 2021: 681-691 - [c67]Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) 2021: 819-829 - [i15]Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. CoRR abs/2102.05762 (2021) - [i14]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes:
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. CoRR abs/2104.01817 (2021) - [i13]Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR abs/2109.05866 (2021) - [i12]Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. CoRR abs/2109.05870 (2021) - [i11]Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. CoRR abs/2109.11287 (2021) - [i10]Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs. CoRR abs/2110.12746 (2021) - 2020
- [j16]Marc Rigter, Bruno Lacerda, Nick Hawes:
A Framework for Learning From Demonstration With Minimal Human Effort. IEEE Robotics Autom. Lett. 5(2): 2023-2030 (2020) - [j15]Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt:
Battery charge scheduling in long-life autonomous mobile robots via multi-objective decision making under uncertainty. Robotics Auton. Syst. 133: 103629 (2020) - [c66]Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree-Search. ICAPS 2020: 217-225 - [c65]Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes:
Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. AAMAS 2020: 1314-1322 - [c64]Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima:
Long-Run Multi-Robot Planning With Uncertain Task Durations. AAMAS 2020: 1750-1752 - [c63]Paul Duckworth, Bruno Lacerda, Nick Hawes:
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes. CoRL 2020: 1654-1668 - [c62]Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima:
Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks. IROS 2020: 4323-4328 - [c61]Matthew Budd, Bruno Lacerda, Paul Duckworth, Andrew West, Barry Lennox, Nick Hawes:
Markov Decision Processes with Unknown State Feature Values for Safe Exploration using Gaussian Processes. IROS 2020: 7344-7350 - [c60]Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari:
Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. IWAI 2020: 20-27 - [i9]Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree Search. CoRR abs/2003.04445 (2020) - [i8]Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR abs/2005.05894 (2020) - [i7]Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. CoRR abs/2012.04626 (2020)
2010 – 2019
- 2019
- [j14]Bruno Lacerda, Fatma Faruq, David Parker, Nick Hawes:
Probabilistic planning with formal performance guarantees for mobile service robots. Int. J. Robotics Res. 38(9) (2019) - [j13]Federico Pecora, Masoumeh Mansouri, Nick Hawes, Lars Kunze:
Special Issue on Reintegrating Artificial Intelligence and Robotics. Künstliche Intell. 33(4): 315-317 (2019) - [c59]Shu Ishida, Marc Rigter, Nick Hawes:
Robot Path Planning for Multiple Target Regions. ECMR 2019: 1-6 - [c58]Milan Tomy, Bruno Lacerda, Nick Hawes, Jeremy L. Wyatt:
Battery Charge Scheduling in Long-Life Autonomous Mobile Robots. ECMR 2019: 1-6 - [c57]Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora:
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. IJCAI 2019: 478-484 - [i6]Manolis Chiou, Nick Hawes, Rustam Stolkin:
Mixed-Initiative variable autonomy for remotely operated mobile robots. CoRR abs/1911.04848 (2019) - 2018
- [j12]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) - [j11]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) - [c56]Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes:
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. AISTATS 2018: 1906-1913 - [c55]Fatma Faruq, David Parker, Bruno Lacerda, Nick Hawes:
Simultaneous Task Allocation and Planning Under Uncertainty. IROS 2018: 3559-3564 - [i5]Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker:
Simultaneous Task Allocation and Planning Under Uncertainty. CoRR abs/1803.02906 (2018) - [i4]Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník:
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. CoRR abs/1807.05196 (2018) - 2017
- [j10]Marc Hanheide, Moritz Göbelbecker, Graham S. Horn, Andrzej Pronobis, Kristoffer Sjöö, Alper Aydemir, Patric Jensfelt, Charles Gretton, Richard Dearden, Miroslav Janícek, Hendrik Zender, Geert-Jan M. Kruijff, Nick Hawes, Jeremy L. Wyatt:
Robot task planning and explanation in open and uncertain worlds. Artif. Intell. 247: 119-150 (2017) - [j9]Thomas Faulhammer, Rares Ambrus, Chris Burbridge, Michael Zillich, John Folkesson, Nick Hawes, Patric Jensfelt, Markus Vincze:
Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics Autom. Lett. 2(1): 26-33 (2017) - [j8]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) - [c54]Lars Kunze, Tom Williams, Nick Hawes, Matthias Scheutz:
Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework. AAAI Fall Symposia 2017: 27-35 - [c53]Bruno Lacerda, David Parker, Nick Hawes:
Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. ICAPS 2017: 504-512 - [c52]Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo:
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. AnSWeR@ESWC 2017: 31-40 - [c51]Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo:
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. ESWC (Satellite Events) 2017: 299-313 - [c50]Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo:
Semantic web-mining and deep vision for lifelong object discovery. ICRA 2017: 2774-2779 - [c49]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning deep visual object models from noisy web data: How to make it work. IROS 2017: 5564-5571 - [i3]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work. CoRR abs/1702.08513 (2017) - [i2]Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini:
Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports 7(1): 32-73 (2017) - 2016
- [j7]Danijel Skocaj, Alen Vrecko, Marko Mahnic, Miroslav Janícek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L. Wyatt, Thomas Keller, Kai Zhou, Michael Zillich, Matej Kristan:
An integrated system for interactive continuous learning of categorical knowledge. J. Exp. Theor. Artif. Intell. 28(5): 823-848 (2016) - [c48]Manolis Chiou, Goda Bieksaite, Nick Hawes, Rustam Stolkin:
Human-Initiative Variable Autonomy: An Experimental Analysis of the Interactions Between a Human Operator and a Remotely Operated Mobile Robot which also Possesses Autonomous Capabilities. AAAI Fall Symposia 2016 - [c47]Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn:
Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS 2016: 1043-1051 - [c46]Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes:
Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. ECAI 2016: 1458-1466 - [c45]Lenka Mudrová, Bruno Lacerda, Nick Hawes:
Partial Order Temporal Plan Merging for Mobile Robot Tasks. ECAI 2016: 1537-1545 - [c44]Manolis Chiou, Rustam Stolkin, Goda Bieksaite, Nick Hawes, Kimron L. Shapiro, Timothy S. Harrison:
Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot. IROS 2016: 3581-3588 - [c43]Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes, Tomás Krajník:
A Poisson-spectral model for modelling temporal patterns in human data observed by a robot. IROS 2016: 4013-4018 - [c42]Christopher McGreavy, Lars Kunze, Nick Hawes:
Next Best View Planning for Object Recognition in Mobile Robotics. PlanSIG 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) - 2015
- [j6]Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff:
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36(3): 99-106 (2015) - [c41]Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes:
A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding. AAAI 2015: 1632-1640 - [c40]Bruno Lacerda, David Parker, Nick Hawes:
Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract). AAAI Fall Symposia 2015: 54-55 - [c39]Jay Young, Nick Hawes:
Learning By Observation Using Qualitative Spatial Relations. AAMAS 2015: 745-751 - [c38]Lenka Mudrová, Bruno Lacerda, Nick Hawes:
An integrated control framework for long-term autonomy in mobile service robots. ECMR 2015: 1-6 - [c37]Minlue Wang, Richard Dearden, Nick Hawes:
Robot plans execution for information gathering tasks with resources constraints. ECMR 2015: 1-6 - [c36]Lenka Mudrová, Nick Hawes:
Task scheduling for mobile robots using interval algebra. ICRA 2015: 383-388 - [c35]Jaime Pulido Fentanes, Bruno Lacerda, Tomás Krajník, Nick Hawes, Marc Hanheide:
Now or later? Predicting and maximising success of navigation actions from long-term experience. ICRA 2015: 1112-1117 - [c34]Bruno Lacerda, David Parker, Nick Hawes:
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications. IJCAI 2015: 1587-1593 - [c33]Manolis Chiou, Nick Hawes, Rustam Stolkin, Kimron L. Shapiro, Jess R. Kerlin, Andrew Clouter:
Towards the Principled Study of Variable Autonomy in Mobile Robots. SMC 2015: 1053-1059 - 2014
- [j5]Manish Jain, Albert Xin Jiang, Takashi Kido, Keiki Takadama, Eric G. Mercer, Neha Rungta, Mark Waser, Alan Wagner, Jennifer L. Burke, Donald A. Sofge, William F. Lawless, Mohan Sridharan, Nick Hawes, Tim Hwang:
Reports of the 2014 AAAI Spring Symposium Series. AI Mag. 35(3): 70-76 (2014) - [c32]Nick Hawes:
Committees. AAAI Spring Symposia 2014 - [c31]Lars Kunze, Chris Burbridge, Nick Hawes:
Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search. AAAI Spring Symposia 2014 - [c30]Jay Young, Nick Hawes:
Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System. AAAI Spring Symposia 2014 - [c29]Jay Young, Nick Hawes:
Learning Micro-Management Skills in RTS Games by Imitating Experts. AIIDE 2014 - [c28]Lars Kunze, Keerthi Kumar Doreswamy, Nick Hawes:
Using Qualitative Spatial Relations for indirect object search. ICRA 2014: 163-168 - [c27]Bruno Lacerda, David Parker, Nick Hawes:
Optimal and dynamic planning for Markov decision processes with co-safe LTL specifications. IROS 2014: 1511-1516 - [c26]Lars Kunze, Chris Burbridge, Marina Alberti, Akshaya Thippur, John Folkesson, Patric Jensfelt, Nick Hawes:
Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. IROS 2014: 2910-2915 - [c25]Katrina Samperi, Nick Hawes:
Improving the Generation of Rapidly Exploring Randomised Trees (RRTs) in Large Scale Virtual Environments Using Trails. TAROS 2014: 231-242 - 2013
- [c24]Jay Young, Nick Hawes:
Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. AAAI Fall Symposia 2013 - [c23]Michael Zillich, Kai Zhou, Danijel Skocaj, Matej Kristan, Alen Vrecko, Miroslav Janícek, Geert-Jan M. Kruijff, Thomas Keller, Marc Hanheide, Nick Hawes, Marko Mahnic:
Robot george: interactive continuous learning of visual concepts. HRI 2013: 425-426 - 2012
- [c22]Nick Hawes, Matthew Klenk, Kate Lockwood, Graham S. Horn, John D. Kelleher:
Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. AAAI 2012: 200-206 - [c21]Jay Young, Nick Hawes:
Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. AIIDE 2012 - [c20]Katrina Samperi, Russell Beale, Nick Hawes:
Please keep off the grass: individual norms in virtual worlds. BCS HCI 2012: 375-380 - [c19]J. W. Baxter, Jack Hargreaves, Nick Hawes, Rustam Stolkin:
Controlling Anytime Scheduling of Observation Tasks. SGAI Conf. 2012: 219-224 - 2011
- [j4]Nick Hawes:
A survey of motivation frameworks for intelligent systems. Artif. Intell. 175(5-6): 1020-1036 (2011) - [c18]Matthew Klenk, Nick Hawes, Kate Lockwood:
Representing and Reasoning About Spatial Regions Defined by Context. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c17]Nick Hawes, Marc Hanheide, Jack Hargreaves, Ben Page, Hendrik Zender, Patric Jensfelt:
Home alone: Autonomous extension and correction of spatial representations. ICRA 2011: 3907-3914 - [c16]Marc Hanheide, Charles Gretton, Richard Dearden, Nick Hawes, Jeremy L. Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Göbelbecker, Hendrik Zender:
Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. IJCAI 2011: 2442-2449 - [c15]Danijel Skocaj, Matej Kristan, Alen Vrecko, Marko Mahnic, Miroslav Janícek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Thomas Keller, Michael Zillich, Kai Zhou:
A system for interactive learning in dialogue with a tutor. IROS 2011: 3387-3394 - 2010
- [j3]Nick Hawes, Jeremy L. Wyatt:
Engineering intelligent information-processing systems with CAST. Adv. Eng. Informatics 24(1): 27-39 (2010) - [j2]Jeremy L. Wyatt, Alper Aydemir, Michael Brenner, Marc Hanheide, Nick Hawes, Patric Jensfelt, Matej Kristan, Geert-Jan M. Kruijff, Pierre Lison, Andrzej Pronobis, Kristoffer Sjöö, Alen Vrecko, Hendrik Zender, Michael Zillich, Danijel Skocaj:
Self-Understanding and Self-Extension: A Systems and Representational Approach. IEEE Trans. Auton. Ment. Dev. 2(4): 282-303 (2010) - [c14]Nick Hawes, Marc Hanheide:
CAST: Middleware for Memory-Based Architectures. Enabling Intelligence through Middleware 2010 - [c13]Nick Hawes, Marc Hanheide, Kristoffer Sjöö, Alper Aydemir, Patric Jensfelt, Moritz Göbelbecker, Michael Brenner, Hendrik Zender, Pierre Lison, Ivana Kruijff-Korbayová, Geert-Jan M. Kruijff, Michael Zillich:
Dora the Explorer: a motivated robot. AAMAS 2010: 1617-1618 - [p6]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman, Geert-Jan M. Kruijff:
Architecture and Representations. Cognitive Systems 2010: 51-93 - [p5]Michael Brenner, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, Nick Hawes:
Planning and Failure Detection. Cognitive Systems 2010: 223-264 - [p4]Geert-Jan M. Kruijff, Pierre Lison, Trevor Benjamin, Henrik Jacobsson, Hendrik Zender, Ivana Kruijff-Korbayová, Nick Hawes:
Situated Dialogue Processing for Human-Robot Interaction. Cognitive Systems 2010: 311-364 - [p3]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Marek Sewer Kopicki, Somboon Hongeng, Ian Calvert, Aaron Sloman, Geert-Jan M. Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, Alen Vrecko, Nikodem Majer, Michael Zillich:
The PlayMate System. Cognitive Systems 2010: 367-393 - [p2]Kristoffer Sjöö, Hendrik Zender, Patric Jensfelt, Geert-Jan M. Kruijff, Andrzej Pronobis, Nick Hawes, Michael Brenner:
The Explorer System. Cognitive Systems 2010: 395-421 - [p1]Nick Hawes, Michael Zillich, Patric Jensfelt:
Lessons Learnt from Scenario-Based Integration. Cognitive Systems 2010: 423-438
2000 – 2009
- 2009
- [j1]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring design space for an integrated intelligent system. Knowl. Based Syst. 22(7): 509-515 (2009) - [c12]Nick Hawes, Michael Brenner, Kristoffer Sjöö:
Planning as an architectural control mechanism. HRI 2009: 229-230 - [c11]Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis:
A computer vision integration model for a multi-modal cognitive system. IROS 2009: 3140-3147 - [c10]Nick Hawes:
Architectures by Design: The Iterative Development of an Integrated Intelligent Agent. SGAI Conf. 2009: 349-362 - 2008
- [c9]Jeremy L. Wyatt, Nick Hawes:
Multiple Workspaces as an Architecture for Cognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 201- - [c8]Henrik Jacobsson, Nick Hawes, Geert-Jan M. Kruijff, Jeremy L. Wyatt:
Crossmodal content binding in information-processing architectures. HRI 2008: 81-88 - [c7]Geert-Jan M. Kruijff, Michael Brenner, Nick Hawes:
Continual planning for cross-modal situated clarification in human-robot interaction. RO-MAN 2008: 592-597 - [c6]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring Design Space For An Integrated Intelligent System. SGAI Conf. 2008: 177-190 - 2007
- [c5]Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj:
Towards an Integrated Robot with Multiple Cognitive Functions. AAAI 2007: 1548-1553 - [c4]Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt:
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. IJCAI 2007: 2072-2077 - [c3]Nick Hawes, Michael Zillich, Jeremy L. Wyatt:
BALT & CAST: Middleware for Cognitive Robotics. RO-MAN 2007: 998-1003 - 2006
- [c2]Geert-Jan M. Kruijff, John D. Kelleher, Nick Hawes:
Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue. PIT 2006: 117-128 - 2000
- [c1]Nick Hawes:
Real Time Goal Orientated Behaviour for Computer Game Agents. GAME-ON 2000: 71-
Coauthor Index
[j26] [j25] [j24] [c94] [c93] [c92] [c91] [i29] [i25] [c90] [c89] [c88] [c87] [c86] [c84] [c83] [i23] [i21] [j21] [j20] [c82] [c81] [c80] [c79] [c78] [c77] [c75] [i19] [i16] [c74] [c73] [c72] [c70] [c69] [c67] [i15] [i13] [i11] [i10] [j16] [j15] [c66] [c65] [c64] [c63] [c62] [c61] [i9] [i8] [i7] [j14] [c58] [c57] [c55] [i5] [j8] [c53] [c45] [i1] [c40] [c38] [c35] [c34] [c27]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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 2024-11-07 20:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
