Publications

J49. U. Celik, A. Perrusquía, "USV Pursuit-Evasion using a Complementaty Scientific Machine Learning with Control Barrier Functions Approach", IEEE Journal of Oceanic Engineering, 2026, Q1 [link]

J48. E. Thellier, A. Perrusquía, A. Tsourdos, "Scalable and Generalizable Path Planning for Robotic Navigation using Transformer-based Heuristic Learning", Information Sciences, 2026, Q1 [link]

J47. N. Lucotte, A. Perrusquía, A. Tsourdos, W. Guo, H-S. Shin, "Tactical Planning Interception Enhancement using Expert Learning - Twin Delayed Deep Deterministic Policy Gradient", IEEE Transactions on Intelligent Vehicles,  vol. 11., no. 1, 2026, Q1 [link]

J46. M. Collignon, A. Perrusquía ,  A. Tsourdos, W. Guo, "Search and Rescue Operations in Wildfires using Unmanned Aerial Vehicles: A Multi-Agent Deep Reinforcement Learning Approach", Neurocomputing, vol. 653, 2025. Q1 [link]

J45. J. Xu, D. Panagopoulos, A. Perrusquía , W. Guo,  A. Tsourdos, "Generalising Rescue Operations in Disaster Scenarios using Drones: A Lifelong Reinforcement Learning Approach", Drones, vol. 9, no. 6, 2025. Q1 [link]

J44. V. Sonntag, A. Perrusquía, A. Tsourdos, W. Guo, "A COLREGs compliance reinforcement learning approach for USV manoeuvring in track-following and collision avoidance problems", Ocean Engineering, vol. 316, 2025. Q1 [link]

J43. A. Perrusquía, W. Guo, "Uncovering Reward Goals in Distributed Drone Swarms using Physics-informed Multiagent Inverse Reinforcement Learning", IEEE Transactions on Cybernetics, vol. 55, no. 1, 2025.  Q1 [link]

J42. J. Mugabe, M. Wisniewski, A. Perrusquía, W. Guo, "Enhancing situational awareness of helicopter pilots in unmanned aerial vehicle-congested environments using an Airborne Visual Artificial Intelligence Approach", Sensors, vol. 24, no. 23, 2024. Q1 [link]

J41. A.M. Ali, A. Perrusquía, W. Guo, A. Tsourdos, "Flight plan optimisation of Unmanned Aerial Vehicles with Minimised  Radar Observability using Action Shaping Proximal Policy Optimisation", Drones, vol. 8, 2024. Q1 [link]

J40. J.A. Flores-Campos, C.R. Torres-San-Miguel, J.C. Paredes-Rojas, A. Perrusquía, "Prescribed Time Interception of Moving Objects' Trajectories using Robot Manipulators", Robotics, vol. 13, 2024. Q1 [link]

J39. A. Perrusquía, Z. Wei, W. Guo, "Trajectory Intent Prediction of Autonomous Systems using Dynamic Mode Decomposition", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024. Q1 [link]

J38. A. Kumar, A. Perrusquía, S. Al-Rubaye, W. Guo, "Wildfire and Smoke Early Detection for Drone Applications: A Light-Weight Deep Learning Approach", Engineering Applications  of Artificial Intelligence, 2024. Q1 [link].

J37. E. Bildik, A. Tsourdos, A. Perrusquía, G. Inalhan,"Decoys Deployment for Missile Interception: A Multi-Agent Reinforcement Learning Approach", Aerospace, vol. 11, no. 8, 2024. Q2 [link]. 

J36. A. Perrusquía, W. Guo, "Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach", IEEE Transactions on Cybernetics, 2024. Q1 [link]

J35. M. El Debeiki, S. Al-Rubaye, A. Perrusquía, C. Conrad, J.A. Flores-Campos, "An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments", Future Internet, 2024. Q1 [link]

J34. A. Perrusquía, W. Guo, B. Fraser, Z. Wei, "Uncovering Drone Intentions using Control Physics Informed Machine Learning", Nature Communications Engineering, vol. 3, no. 1, 2024. [Key Paper UK-IC RAEng Fellowship] [link]

J33. A. Deep, A. Perrusquía, L. Aljaburi, S. Al-Rubaye, W. Guo, "A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services", IEEE Access, 2024.  Q1 [link]

J32.  A. Perrusquía, W. Guo, "Trajectory  Inference of Unknown Linear Systems based on Partial States Measurements", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. Q1. [link]

J31. A. Perrusquía, W. Guo, "Drone's Objective Inference using Policy Error Inverse Reinforcement Learning", IEEE Transactions on Neural Networks and Learning Systems, 2023. Q1 [link]

J30. A. Perrusquía, W. Guo, "Physics Informed Trajectory Inference of a Class of Nonlinear Systems using a Closed-Loop Output Error Technique", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. Q1. [link]

J29. W. Guo, Z. Wei, O. Gonzalez-Villareal, A. Perrusquía, A. Tsourdos, "Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems", IEEE Vehicular Technology Magazine, 2023. Q1. [link]

J28. A. Perrusquía, W. Guo, "Reward Inference of Discrete-time Expert's Controllers: A Complementary Learning Approach", Information Sciences, vol. 631, pp. 396-411, 2023. Q1. [link]

J27. A. Perrusquía, W. Guo, "Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference", IEEE Transactions on Automatic Control, 2023. Q1 [link]

J26. A. Perrusquía, W. Guo, "Hippocampus Experience Inference for Safety Critical Control of Unknown Multi-Agent Linear Systems", ISA Transactions, 2023. Q1 [link]

J25.  A. Perrusquía, W. Guo, "A Closed-Loop Output Error Approach for Physics Informed Trajectory Inference using Online Data", IEEE Transactions on Cybernetics, vol. 53, no. 3, pp. 1379-1391, 2023. Q1 [link]

J24. A. Perrusquía, W. Guo, "Optimal Control of Nonlinear Systems using Experience Inference Human-Behavior Learning", IEEE/CAA Automatica Sinica, vol. 10, no. 1, pp. 90-102, 2023. Q1 [link ]

J23. A. Perrusquía, W. Yu, "Neural H2 Control Using Continuous-Time Reinforcement Learning", IEEE Transactions on Cybernetics, vol. 52, no. 6,  pp. 4485-4494, 2022.  Q1 [link]

J22.  A. Perrusquía, R. Garrido, W. Yu, "Stable robot manipulator parameter identification: A closed-loop input error approach", Automatica, vol. 141, 2022. Q1 [link]

J21. A. Perrusquía, "Human-Behavior Learning: A new Complementary Learning perspective for Optimal Decision Making Controllers", Neurocomputing, vol. 489, pp. 157-166, 2022. Q1 [link]

J20. A. Perrusquía, "Solution of the Linear Quadratic Regulator Problem of Black Box Linear Systems using Reinforcement Learning" Information Sciences, vol. 595, pp. 364-377, 2022. IF 8.1 Q1 [link] 

J19. A. Perrusquía, "Robust State/Output Feedback linearization of direct drive robot manipulators: a controllability and observability analysis", European Journal of Control, vol. 64, no. 2022. Q1  [link]

J18. A. Perrusquía, J.A. Flores Campos, W. Yu, "Optimal sliding mode control for cutting tasks of quick-return mechanisms", ISA Transactions, vol. 122, pp. 88-95, 2022. Q1 [link]

J17. A. Perrusquía, "A complementary learning approach for expertise transference of human-optimized controllers", Neural Networks, vol. 145, pp. 33-41, 2022. Q1, [link]

J16. J. Ramírez, W. Yu, A. Perrusquía, "Model-free reinforcement learning from expert demonstrations: A survey", Artificial Intelligence Review, vol. 55, pp. 3213-3241, 2022. Q1 [link]

J15. A. Perrusquía, W. Yu, X. Li, "Nonlinear control using human behavior learning", Information Sciences, vol. 569, pp. 358-375, 2021. Q1 [link]

J14.  A. Perrusquía, W. Yu, "Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview", Neurocomputing, vol. 438, pp. 145-154, 2021. Q1 [link]

J13. J.A. Flores Campos, A. Perrusquía, L.H. Hernández-Gómez, N. González, "Constant speed control of slider-crank mechanisms: A joint-task space hybrid control approach", IEEE Access, vol. 9, pp. 65676-65687, 2021. Q1 [link]

J12. A. Perrusquía, W. Yu, "Continuous-time reinforcement learning for robust control under worst-case uncertainty", International Journal of Systems Science, vol. 52, no. 4, pp. 770-784, 2021. Q1 [link] 

J11. A. Perrusquía, W. Yu, X. Li, "Multi-agent reinforcement learning for redundant robot control in task-space", International Journal of Machine Learning and Cybernetics, vol. 12, no. 1, pp. 231-241, 2021. Q1 [link] 

J10. W. Yu, A. Perrusquía, "Simplified stable admittance control using end-effector orientations", International Journal of Social Robotics, vol. 12, no. 5, pp. 1061-1073, 2020. Q1 [link]

J9. A. Perrusquía, W. Yu, "Discrete-time H2 neural control using reinforcement learning", IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 11, pp. 4879-4889, 2020. Q1 [link]. 

J8. A. Perrusquía, J.A. Flores Campos, C. R. Torres-SanMiguel, "A novel tuning method of PD with gravity compensation controller for robot manipulators", IEEE Access, vol. 8, pp.114773-114783, 2020. Q1 [link]

J7. A. Perrusquía, W. Yu, "Robot position/force control in unknown environment using Hybrid Reinforcement Learning" Cybernetics and Systems, vol. 51, no. 4, pp. 542-560, 2020. Q2 [link]

J6. A. Perrusquía, J.A. Flores Campos, C. R. Torres-SanMiguel, N. González, "Task space position control of slider-crank mechanisms using simple tuning techniques without linearization methods" IEEE Access, vol. 8, pp. 58435-58442, 2020. Q1 [link]

J5. A. Perrusquía, W. Yu, "Human-in-the-loop control using Euler angles", Journal of Intelligent & Robotic Systems, vol. 97, no. 2, pp. 271-285, 2020. Q1 [link]

J4. A. Perrusquía, W. Yu, "Robust control under worst-case uncertainty for unknown nonlinear systems using modified reinforcement learning" International Journal of Robust and Nonlinear Control, vol. 30, no. 7, pp. 2920-2936, 2020. Q1 [link ]

J3. J.A. Flores Campos, A. Perrusquía, "Slider position control for slider-crank mechanisms with Jacobian compensator", Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 233, no. 10, pp. 1413-1421, 2019. Q2 [link]

J2. A. Perrusquía, W. Yu, "Position/force control of robot manipulators using reinforcement learning", Industrial Robot: the International Journal of Robotics Research and Application, vol. 46, no. 2, pp. 267-280, 2019. Q2 [link]

J1.  J.A. Flores Campos, J.A. Perrusquía  Guzmán, J.A. Beltrán  Fernández, L.H. Hernández Gómez, "Sliding Mode Control of a water-displacement mechanism applied to the orientation of a parabolic-trough solar concentrator", Defect and Difussion Forum, vol. 370, pp. 90-97, 2017. Q4 [link]

C39. A. Perrusquía, D. Panda, W. Guo, "Interpreting and Enhancing Decisions in Autonomous Navigation: a Belief-Desire Intention Reinforcement Learning (BDI-RL) Approach", IEEE International Conference on Systems, Man, and Cybernetics (SMC'25), 2025. [link]

C38. Z. Wang, Y. Xing, A. Zolotas, A. Perrusquía, W. Guo, A. Tsourdos, "A Cross-Platform Study of Human Situational Awareness for Heterogeneous Low Altitude Autonomy", IEEE International Conference on Systems, Man, and Cybernetics (SMC'25), 2025 [link]

C37. D. Panagopoulos, A. Perrusquía , W. Guo, "Learning What Matters Now: A Dual-Critic Context-Aware RL Framework for Priority-Driven Information Gain", IEEE International Conference on Systems, Man, and Cybernetics (SMC'25), 2025 [link]

C36. Y. Yang, A. Perrusquía, W. Guo,  "Inferring Wind Velocity from Informal Environmental Objects using Optical Flow Informed Recurrent Neural Networks", 11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025. Royal Aeronautical Society Aerospace Magazine Highlight [link]

C35. A. Perrusquía, W. Guo,  "Physics-Informed State Observer for Unknown Linear Autonomous Systems with Noisy Measurements",  11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025 [link]

C34. R. Fernandes, A. Perrusquía, W. Guo, "Drones Identification and Classification using Fingerprint in Spectrograms", 11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025 [link]

C33. R. Martinez, L.A. Marquez-Martinez, A. Perrusquía, "Near Optimal Reinforcement Learning Control of Linear Time-Delay Systems", 15th IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS 2025),  2025 [link]

C32.  E. Thellier, A. Perrusquía, A. Tsourdos, "Instance-Specific Heuristic Learning for Scalable UAV Path Planning",  AIAA Aviation Forum, 2025 [link]

C31. K. Tamanakijprasart, A. Perrusquía, S. Mondal, A. Tsourdos, "Autonomous Path Selection of Unmaneed Aerial Vehicle in Dynamic Environment Using Reinforcement Learning", IAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2025 [link]

C30. K. Kunchitigara, A. Perrusquía, A. Tsourdos, D. Ignatyev, "Integrating Explainable AI into Two-Tier ML Models for Trustworthy Aircraft Landing Gear Fault Diagnosis", AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2025 [link]. 

C29.  A. Eliades, E. Thellier, H. Tian, S. Mehta, N. Almesafri, H. Chen, Z. Wei, A. Perrusquía, C. Liu, W. Guo, "Drone Pollution Tracking in Cities using Recurrent Proximal Policy Optimization Learning", IEEE International Smart Cities Conference, 2024. Best paper [link]

C28. A. Kumar, A. Perrusquía, S. Al-Rubaye, W. Guo, "Fire Detection Automation in Search Drones using a Modified DeepLabv3+ Approach", IEEE International Smart Cities Conference, 2024 [link]

C27. D. Panagopoulos, A. Perrusquía, W. Guo, "Selective Exploration and Information Gathering in Search and Rescue  using Hierarchical Learning Guided by Natural Language Input", IEEE International Conference on Systems, Man and Cybernetics (SMC24), 2024 [link] 

C26. Y. Wang, A. Perrusquía, D. Ignatyev, "Towards Bio-Inspired Control of Aerial Vehicle: Distributed Aerodynamic Parameters for State Prediction", Proceedings of Machine Learning Research (PMLR), vol. 242, pp. 1096-1106, 2024 [link]

C25. A. Perrusquía, W. Guo, "A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms", IEEE International Joint Conference on Neural Networks (IJCNN), 2024 [link]

C24. M. Zou, A. Perrusquía, W. Guo, "Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study", 10th International Conference on Control, Decision and Information Technologies (CoDIT'24), 2024 [link]

C23. E. Bildik, A. Tsourdos, A. Perrusquía, G. Inalhan, "Swarm Decoys Deployment for Missile Deceive using Multi-Agent Reinforcement Learning", International Conference on Unmanned Aircraft Systems (ICUAS'24), 2024 [link] 

C22. C. Gruffeille, A. Perrusquía, A. Tsourdos, W. Guo,"Disaster Area Coverage Optimisation using Reinforcement Learning", International Conference on Unmanned Aircraft Systems (ICUAS'24), 2024 [link] 

C21. K. Kunchitigara, A. Perrusquía, A. Tsourdos, D. Ignatyev, "Advancing Fault Diagnosis in Aircraft Landing Gear: An innovative two-tier machine learning approach with intelligent sensor data management", AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2024. [link]

C20. B. Fraser, A. Perrusquía, D. Panagiotakopoulos, W. Guo, "A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data", IEEE Symposium Series on Computational Intelligence (SSCI'23), 2023. [link]

C19. J.A. Flores-Campos, A. Perrusquía, "Robust Control of Linear Systems: A Min-Max Reinforcement Learning Formulation", 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'23), 2023. [link]

C18. B. Fraser, A. Perrusquía, D. Panagiotakopoulos, W. Guo, "Hybrid Deep Neural Networks for Drone High Level Intent Classification using Non-Cooperative Radar Data", Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME'23), 2023. [link]

C17. G. Singh, A. Perrusquía, W. Guo, "A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction", 9th International Conference on Control, Decision and Information Technologies (CoDIT'23), 2023. [link]

C16. T. Kacker, W. Guo, A. Perrusquía, "Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires", IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC'23), 2023. [link]

c15. J. Mendoza, A. Perrusquía, J.A. Flores-Campos, "Mechanical Advantage Assurance Control of Quick-return Mechanisms in Task Space", 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'22), 2022. [link]

c14. A. Perrusquía, W. Guo, "Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach", IEEE 18th International Conference on Automation Science and Engineering (CASE'22), 2022. [link]

C13. A. Perrusquía, W. Guo, "Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning", 8th International Conference on Control, Decision and Information Technologies (CoDIT'22), 2022. [link]

C12. A. Perrusquía, W. Yu, "Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators", IEEE Conference on Decision and Control (CDC'21), pp. 57-62, 2021. [link]

C11. A. Perrusquía, R. Garrido, W. Yu, "An Input error method for parameter identification of a class of Euler-Lagrange Systems", 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'21), 2021. [link]

C10. A. Perrusquía, W. Yu, X. Li, "Robust control in the worst case using continuous time Reinforcement Learning", IEEE International Conference on Systems, Man, and Cybernetics (SMC'20), 2020. [link]

C9. A. Perrusquía, W. Yu, X. Li, "Redundant robot control using multi agent reinforcement learning", 16th International Conference on Automation Science and Engineering (CASE'20), 2020. [link]

C8. A. Perrusquía, W. Yu, "Neural H2 control using Reinforcement Learning for Unknown Nonlinear Systems", International Joint Conference on Neural Networks (IJCNN), 2020.  [link]

C7. A. Perrusquía, W. Yu, X. Li, "Impedance Control without environment model by reinforcement learning", 10th International Conference on Intelligent Control and Information Processing (ICICIP'19), pp. 59-63, 2019. [link]  

C6. A. Perrusquía, J.A. Flores Campos, W. Yu, "Simple optimal tracking control for a class of closed-chain mechanisms in task space", 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'19), 2019. [link]

C5. A. Perrusquía, W. Yu, A. Soria, "Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and model-free controllers", 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'19), 2019. [link]

C4. A. Perrusquía, W. Yu, A. Soria, "Large space dimension reinforcement learning for robot position/force discrete control", 6th International Conference on Control, Decision and Information Technologies (CoDIT'19), pp. 91-96, 2019. [link] 

C3. A. Perrusquía, W. Yu, "Task space human-robot interaction using angular velocity Jacobian", 2019 International Symposium on Medical Robotics (ISMR'19), pp. 1-7, 2019. [link]

C2. A. Perrusquía, W. Yu, A. Soria, R. Lozano, "Stable admittance control without inverse kinematics", IFAC-PapersOnline, vol. 50, no. 1, pp. 15835-15840. [link]

C1. A. Perrusquía , C. Tovar, A. Soria, J.C. Martínez, "Robust controller for aircraft roll control system using data flight parameters", 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'16), 2016. [link]