Pawel Ladosz
Pawel Ladosz
Lecturer in AI and robotics, University of Manchester
Verified email at
Cited by
Cited by
Exploration in deep reinforcement learning: A survey
P Ladosz, L Weng, M Kim, H Oh
Information Fusion 85, 1-22, 2022
Optimal positioning of communication relay unmanned aerial vehicles in urban environments
P Ladosz, H Oh, WH Chen
2016 International Conference on Unmanned Aircraft Systems (ICUAS), 1140-1147, 2016
Measurement of boundary layer ozone concentrations on‐board a Skywalker unmanned aerial vehicle
S Illingworth, G Allen, C Percival, P Hollingsworth, M Gallagher, ...
Atmospheric Science Letters 15 (4), 252-258, 2014
Trajectory planning for communication relay unmanned aerial vehicles in urban dynamic environments
P Ladosz, H Oh, WH Chen
Journal of Intelligent & Robotic Systems 89, 7-25, 2018
Gaussian process based channel prediction for communication-relay UAV in urban environments
P Ladosz, H Oh, G Zheng, WH Chen
IEEE Transactions on Aerospace and Electronic Systems 56 (1), 313-325, 2019
A hybrid approach of learning and model-based channel prediction for communication relay UAVs in dynamic urban environments
P Ladosz, H Oh, G Zheng, WH Chen
IEEE Robotics and Automation Letters 4 (3), 2370-2377, 2019
Deep reinforcement learning with modulated hebbian plus Q-network architecture
P Ladosz, E Ben-Iwhiwhu, J Dick, N Ketz, S Kolouri, JL Krichmar, PK Pilly, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (5), 2045-2056, 2021
Optimal communication relay positioning in mobile multi-node networks
J Kim, P Ladosz, H Oh
Robotics and Autonomous Systems 129, 103517, 2020
A Generic ROS Based System for Rapid Development and Testing of Algorithms for Autonomous Ground and Aerial Vehicles
P Ladosz, M Coombes, J Smith, M Hutchinson
Robot Operating System (ROS), 113-153, 2018
Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environments
P Ladosz, H Oh, WH Chen
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Experimental assessment of plume mapping using point measurements from unmanned vehicles
M Hutchinson, P Ladosz, C Liu, WH Chen
2019 International Conference on Robotics and Automation (ICRA), 7720-7726, 2019
Evolving inborn knowledge for fast adaptation in dynamic pomdp problems
E Ben-Iwhiwhu, P Ladosz, J Dick, WH Chen, P Pilly, A Soltoggio
Proceedings of the 2020 genetic and evolutionary computation conference, 280-288, 2020
Communication-aware convoy following guidance for UAVs in a complex urban environment
H Oh, HS Shin, S Kim, P Ladosz, WH Chen
2016 24th Mediterranean Conference on Control and Automation (MED), 1230-1235, 2016
Source term estimation using deep reinforcement learning with Gaussian mixture model feature extraction for mobile sensors
M Park, P Ladosz, H Oh
IEEE Robotics and Automation Letters 7 (3), 8323-8330, 2022
A genetic algorithm optimiser for dynamic product routing in agile manufacturing environment
P Ladosz, O Banjo, S De Guido, M Zalasiewicz
2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018
Monocular vision-based time-to-collision estimation for small drones by domain adaptation of simulated images
M Kim, P Ladosz, H Oh
Expert Systems with Applications 199, 116973, 2022
Receding horizon-based infotaxis with random sampling for source search and estimation in complex environments
M Park, P Ladosz, J Kim, H Oh
IEEE Transactions on Aerospace and Electronic Systems 59 (1), 591-609, 2022
The configurable tree graph (ct-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning
A Soltoggio, E Ben-Iwhiwhu, C Peridis, P Ladosz, J Dick, PK Pilly, ...
arXiv preprint arXiv:2302.10887, 2023
Detecting changes and avoiding catastrophic forgetting in dynamic partially observable environments
J Dick, P Ladosz, E Ben-Iwhiwhu, H Shimadzu, P Kinnell, PK Pilly, ...
Frontiers in neurorobotics 14, 578675, 2020
Spatio-temporal attention deep recurrent q-network for pomdps
M Etchart, P Ladosz, D Mulvaney
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
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