| 2025 | CoDIT | Drones Identification and Classification using Fingerprints in Spectrograms. | Rovell Fernandes, Adolfo Perrusqua, Weisi Guo |
| 2025 | CoDIT | Physics-Informed State Observer for Unknown Linear Autonomous Systems with Noisy Measurements. | Adolfo Perrusqua, Weisi Guo |
| 2025 | CoDIT | Inferring Wind Velocity from Informal Environmental Objects using Optical Flow Informed Recurrent Neural Networks. | Yifan Yang, Adolfo Perrusqua, Weisi Guo |
| 2025 | SMC | Learning What Matters Now: A Dual-Critic Context-Aware RL Framework for Priority-Driven Information Gain. | Dimitris Panagopoulos, Adolfo Perrusqua, Weisi Guo |
| 2025 | SMC | Interpreting and Enhancing Decisions in Autonomous Navigation: A Belief-Desire-Intention Reinforcement Learning (BDI-RL) Approach. | Adolfo Perrusqua, Deepak Kumar Panda, Weisi Guo |
| 2025 | SMC | A Cross-Platform Study of Human Situational Awareness for Heterogeneous Low Altitude Autonomy. | Ziyue Wang, Yang Xing, Argyrios C. Zolotas, Adolfo Perrusqua, Weisi Guo, Antonios Tsourdos |
| 2024 | CoDIT | Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study. | Mengbang Zou, Adolfo Perrusqua, Weisi Guo |
| 2024 | IJCNN | A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms. | Adolfo Perrusqua, Weisi Guo |
| 2024 | SMC | Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input. | Dimitrios Panagopoulos, Adolfo Perrusqua, Weisi Guo |
| 2023 | CoDIT | A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction. | Gurpreet Singh, Adolfo Perrusqua, Weisi Guo |
| 2022 | CoDIT | Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning. | Adolfo Perrusqua, Weisi Guo |
| 2020 | IJCNN | Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. | Adolfo Perrusqua, Wen Yu |
| 2020 | SMC | Robust Control in the Worst Case Using Continuous Time Reinforcement Learning. | Adolfo Perrusqua, Wen Yu, Xiaoou Li |
| 2019 | CoDIT | Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control. | Adolfo Perrusqua, Wen Yu, Alberto Soria |