Lenka Pitonakova
Lenka Pitonakova
University of Bristol
Verified email at - Homepage
Cited by
Cited by
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
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
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
Simulation software and virtual environments for acceleration of agricultural robotics: Features highlights and performance comparison
R R Shamshiri, IA Hameed, L Pitonakova, C Weltzien, SK Balasundram, ...
Chinese Society of Agricultural Engineering, 2018
Information flow principles for plasticity in foraging robot swarms
L Pitonakova, R Crowder, S Bullock
Swarm Intelligence 10, 33-63, 2016
The Information-Cost-Reward framework for understanding robot swarm foraging
L Pitonakova, R Crowder, S Bullock
Swarm Intelligence, 1-26, 2017
Understanding the role of recruitment in collective robot foraging
L Pitonakova, R Crowder, S Bullock
MIT Press, 2014
Task allocation in foraging robot swarms: The role of information sharing
S Bullock, R Crowder, L Pitonakova
Artificial Life Conference Proceedings, 306-313, 2016
Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms
L Pitonakova, R Crowder, S Bullock
IEEE, 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
Ultrastable neuroendocrine robot controller
L Pitonakova
Adaptive Behavior 21 (1), 47-63, 2013
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 (1-2), 89-115, 2023
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
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
Controlling ant-based construction
L Pitonakova, S Bullock
MIT Press, 2013
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
Novelty Detection with Robots Using the Grow-When-Required Neural Network
L Pitonakova
Design patterns for robot swarms
L Pitonakova
University of Southampton, 2017
Foraging Strategies in Nature and Their Application to Swarm Robotics
L Pitonakova
SwarmIntell-Springer, 2013
Adaptive Navigation Robot Controller
L Pitonakova
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