| Research and development in agricultural robotics: A perspective of digital farming R R Shamshiri, C Weltzien, IA Hameed, I J Yule, T E Grift, ... Chinese Society of Agricultural Engineering, 2018 | 588 | 2018 |
| Rapid and near real-time assessments of population displacement using mobile phone data following disasters: The 2015 Nepal earthquake R Wilson, E zu Erbach-Schoenberg, M Albert, D Power, S Tudge, ... PLoS currents 8, 2016 | 206 | 2016 |
| Feature and performance comparison of the V-REP, Gazebo and ARGoS robot simulators L Pitonakova, M Giuliani, A Pipe, A Winfield Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018 …, 2018 | 150 | 2018 |
| Simulation software and virtual environments for acceleration of agricultural robotics: Features highlights and performance comparison RR Shamshiri, IA Hameed, L Pitonakova, C Weltzien, SK Balasundram, ... International Journal of Agricultural and Biological Engineering 11 (4), 15-31, 2018 | 83 | 2018 |
| Information flow principles for plasticity in foraging robot swarms L Pitonakova, R Crowder, S Bullock Swarm Intelligence 10, 33-63, 2016 | 49 | 2016 |
| The Information-Cost-Reward framework for understanding robot swarm foraging L Pitonakova, R Crowder, S Bullock Swarm Intelligence, 1-26, 2017 | 30 | 2017 |
| Understanding the role of recruitment in collective robot foraging L Pitonakova, R Crowder, S Bullock MIT Press, 2014 | 21 | 2014 |
| Task allocation in foraging robot swarms: The role of information sharing L Pitonakova, R Crowder, S Bullock Artificial Life Conference Proceedings, 306-313, 2016 | 19 | 2016 |
| Wildfire detection in large-scale environments using force-based control for swarms of UAVs G Tzoumas, L Pitonakova, L Salinas, C Scales, T Richardson, S Hauert Swarm Intelligence 17 (1), 89-115, 2023 | 16 | 2023 |
| Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms L Pitonakova, R Crowder, S Bullock IEEE, 2017 | 15 | 2017 |
| Information exchange design patterns for robot swarm foraging and their application in robot control algorithms L Pitonakova, R Crowder, S Bullock Frontiers in Robotics and AI 5, 47, 2018 | 14 | 2018 |
| Ultrastable neuroendocrine robot controller L Pitonakova Adaptive Behavior 21 (1), 47-63, 2013 | 10 | 2013 |
| The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection L Pitonakova, S Bullock Neural Networks 122, 183-195, 2020 | 8 | 2020 |
| Recruitment near worksites facilitates robustness of foraging E-puck swarms to global positioning noise L Pitonakova, A Winfield, R Crowder 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 5 | 2018 |
| Controlling ant-based construction L Pitonakova, S Bullock MIT Press, 2013 | 4 | 2013 |
| Digital twin technology for wildfire monitoring using UAV swarms LR Salinas, G Tzoumas, L Pitonakova, S Hauert 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 586-593, 2023 | 3 | 2023 |
| The importance of information flow regulation in preferentially foraging robot swarms L Pitonakova, R Crowder, S Bullock Swarm Intelligence: 11th International Conference, ANTS 2018, Rome, Italy …, 2018 | 2 | 2018 |
| Novelty detection with robots using the grow-when-required neural network L Pitonakova | 1 | 2020 |
| Design patterns for robot swarms L Pitonakova University of Southampton, 2017 | 1 | 2017 |
| Foraging Strategies in Nature and Their Application to Swarm Robotics L Pitonakova SwarmIntell-Springer, 2013 | 1 | 2013 |
Seth BullockToshiba Chair in Data Science and Simulation, University of BristolVerified email at bristol.ac.uk
