Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Nick Hawes

Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs


Oct 25, 2021
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes


  Access Paper or Ask Questions

Risk-Aware Motion Planning in Partially Known Environments


Sep 23, 2021
Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes

* 7 pages, 2 figures, to be published in CDC 2021 

  Access Paper or Ask Questions

Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference


Sep 13, 2021
Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato, Nick Hawes, Riccardo Ferrari

* Presented at the International Workshop on Active Inference (IWAI) 2021; 11 pages, 3 figures 

  Access Paper or Ask Questions

On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference


Sep 13, 2021
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes

* Presented at the second International Workshop on Active Inference (IWAI 2021); 11 pages, 2 figures 

  Access Paper or Ask Questions

Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference


Apr 05, 2021
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Carlos Hernandez Corbato, Nick Hawes

* 7 pages, 6 figures, Accepted at the European Control Conference (ECC) 2021 

  Access Paper or Ask Questions

Risk-Averse Bayes-Adaptive Reinforcement Learning


Feb 10, 2021
Marc Rigter, Bruno Lacerda, Nick Hawes


  Access Paper or Ask Questions

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes


Dec 08, 2020
Marc Rigter, Bruno Lacerda, Nick Hawes

* Long version of paper to appear in AAAI 2021 

  Access Paper or Ask Questions

Active Inference for Integrated State-Estimation, Control, and Learning


May 12, 2020
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes


  Access Paper or Ask Questions

Convex Hull Monte-Carlo Tree Search


Mar 23, 2020
Michael Painter, Bruno Lacerda, Nick Hawes

* Camera-ready version of paper accepted to ICAPS 2020, along with relevant appendices 

  Access Paper or Ask Questions

Mixed-Initiative variable autonomy for remotely operated mobile robots


Nov 12, 2019
Manolis Chiou, Nick Hawes, Rustam Stolkin

* Submitted for journal publication 

  Access Paper or Ask Questions

Simultaneous Task Allocation and Planning Under Uncertainty


Aug 10, 2018
Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker


  Access Paper or Ask Questions

Artificial Intelligence for Long-Term Robot Autonomy: A Survey


Jul 13, 2018
Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomáš Krajník

* Accepted for publication in the IEEE Robotics and Automation Letters (RA-L) 

  Access Paper or Ask Questions

Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work


Feb 28, 2017
Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo

* 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
* 8 pages, 7 figures, 3 tables 

  Access Paper or Ask Questions

The STRANDS Project: Long-Term Autonomy in Everyday Environments


Oct 14, 2016
Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Fäulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomas Krajník, João M. Santos, Tom Duckett, Marc Hanheide


  Access Paper or Ask Questions