Adolfo Perrusquía

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 50

Top Topics

Robot Manipulators

Reinforcement Learning

Top Venues

Publications

Avishaek Deep, Adolfo Perrusquía, Lamees Aljaburi, Saba Al-Rubaye, Weisi Guo
A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services. IEEE Access 12 (2024)
Xiangqi Kong, Yang Xing, Antonios Tsourdos, Ziyue Wang, Weisi Guo, Adolfo Perrusquía, Andreas Wikander
Explainable Interface for Human-Autonomy Teaming: A Survey. CoRR (2024)
Abhinav Kumar, Adolfo Perrusquía, Saba Al-Rubaye, Weisi Guo
Wildfire and smoke early detection for drone applications: A light-weight deep learning approach. Eng. Appl. Artif. Intell. 136 (2024)
Weisi Guo, Zhuangkun Wei, Oscar Gonzalez-Villarreal, Adolfo Perrusquía, Antonios Tsourdos
Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems. IEEE Veh. Technol. Mag. 19 (1) (2024)
Adolfo Perrusquía, Weisi Guo
Trajectory Inference of Unknown Linear Systems Based on Partial States Measurements. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Mostafa El Debeiki, Saba Al-Rubaye, Adolfo Perrusquía, Christopher Conrad, Juan Alejandro Flores Campos
An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments. Future Internet 16 (3) (2024)
Adolfo Perrusquía, Mengbang Zou, Weisi Guo
Explainable data-driven Q-learning control for a class of discrete-time linear autonomous systems. Inf. Sci. 682 (2024)
Yikang Wang, Adolfo Perrusquía, Dmitry I. Ignatyev
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction. L4DC (2024)
Adolfo Perrusquía, Weisi Guo
Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference. IEEE Trans. Autom. Control. 68 (12) (2023)
Juan Alejandro Flores Campos, Adolfo Perrusquía
Robust Control of Linear Systems: A Min-Max Reinforcement Learning Formulation. CCE (2023)
Adolfo Perrusquía, Weisi Guo
A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data. IEEE Trans. Cybern. 53 (3) (2023)
Adolfo Perrusquía, Weisi Guo
Physics Informed Trajectory Inference of a Class of Nonlinear Systems Using a Closed-Loop Output Error Technique. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Tanmay Kacker, Adolfo Perrusquía, Weisi Guo
Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires. ICAIIC (2023)
Benjamin Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, Weisi Guo
A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data. SSCI (2023)
Adolfo Perrusquía, Weisi Guo
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning. IEEE CAA J. Autom. Sinica 10 (1) (2023)
Gurpreet Singh, Adolfo Perrusquía, Weisi Guo
A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction. CoDIT (2023)
Adolfo Perrusquía, Weisi Guo
Reward inference of discrete-time expert's controllers: A complementary learning approach. Inf. Sci. 631 (2023)
Adolfo Perrusquía, Wen Yu
Neural H₂ Control Using Continuous-Time Reinforcement Learning. IEEE Trans. Cybern. 52 (6) (2022)
Adolfo Perrusquía
Human-behavior learning: A new complementary learning perspective for optimal decision making controllers. Neurocomputing 489 (2022)
Adolfo Perrusquía
Robust state/output feedback linearization of direct drive robot manipulators: A controllability and observability analysis. Eur. J. Control 64 (2022)
Jocabed Mendoza, Adolfo Perrusquía, Juan Alejandro Flores Campos
Mechanical Advantage Assurance Control of Quick-return Mechanisms in Task Space. CCE (2022)
Jorge Ramírez, Wen Yu, Adolfo Perrusquía
Model-free reinforcement learning from expert demonstrations: a survey. Artif. Intell. Rev. 55 (4) (2022)
Adolfo Perrusquía, Weisi Guo
Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach. CASE (2022)
Adolfo Perrusquía, Weisi Guo
Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning. CoDIT (2022)
Adolfo Perrusquía
Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning. Inf. Sci. 595 (2022)
Adolfo Perrusquía
A complementary learning approach for expertise transference of human-optimized controllers. Neural Networks 145 (2022)
Adolfo Perrusquía, Ruben Garrido, Wen Yu
Stable robot manipulator parameter identification: A closed-loop input error approach. Autom. 141 (2022)
Adolfo Perrusquía, Wen Yu
Neural Control Using Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Juan Alejandro Flores Campos, Adolfo Perrusquía, Luis Héctor Hernández-Gómez, Noé González, Alejandra Armenta-Molina
Constant Speed Control of Slider-Crank Mechanisms: A Joint-Task Space Hybrid Control Approach. IEEE Access 9 (2021)
Adolfo Perrusquía, Wen Yu
Continuous-time reinforcement learning for robust control under worst-case uncertainty. Int. J. Syst. Sci. 52 (4) (2021)
Adolfo Perrusquía, Wen Yu
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview. Neurocomputing 438 (2021)
Adolfo Perrusquía, Wen Yu, Xiaoou Li
Nonlinear control using human behavior learning. Inf. Sci. 569 (2021)
Adolfo Perrusquía, Wen Yu, Xiaoou Li
Multi-agent reinforcement learning for redundant robot control in task-space. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Adolfo Perrusquía, Ruben Garrido, Wen Yu
An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. CCE (2021)
Adolfo Perrusquía, Wen Yu
Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators. CDC (2021)
Wen Yu, Adolfo Perrusquía
Simplified Stable Admittance Control Using End-Effector Orientations. Int. J. Soc. Robotics 12 (5) (2020)
Adolfo Perrusquía, Wen Yu
Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning. Cybern. Syst. 51 (4) (2020)
Adolfo Perrusquía, Juan Alejandro Flores Campos, Christopher R. Torres-Sanmiguel, Noé González
Task Space Position Control of Slider-Crank Mechanisms Using Simple Tuning Techniques Without Linearization Methods. IEEE Access 8 (2020)
Adolfo Perrusquía, Wen Yu
Human-in-the-Loop Control Using Euler Angles. J. Intell. Robotic Syst. 97 (2) (2020)
Adolfo Perrusquía, Juan Alejandro Flores Campos, Christopher René Torres-San Miguel
A Novel Tuning Method of PD With Gravity Compensation Controller for Robot Manipulators. IEEE Access 8 (2020)
Adolfo Perrusquía, Wen Yu, Xiaoou Li
Redundant Robot Control Using Multi Agent Reinforcement Learning. CASE (2020)
Adolfo Perrusquía, Wen Yu
Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. IJCNN (2020)
Adolfo Perrusquía, Wen Yu, Xiaoou Li
Robust Control in the Worst Case Using Continuous Time Reinforcement Learning. SMC (2020)
Adolfo Perrusquía, Juan Alejandro Flores Campos, Wen Yu
Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space. CCE (2019)
Adolfo Perrusquía, Wen Yu, Alberto Soria
Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control. CoDIT (2019)
Adolfo Perrusquía, Wen Yu, Alberto Soria
Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers. CCE (2019)
Adolfo Perrusquía, Wen Yu
Task space human-robot interaction using angular velocity Jacobian. ISMR (2019)
Juan Alejandro Flores Campos, Adolfo Perrusquía
Slider position control for slider-crank mechanisms with Jacobian compensator. J. Syst. Control. Eng. 233 (10) (2019)
Adolfo Perrusquía, Wen Yu, Alberto Soria
Position/force control of robot manipulators using reinforcement learning. Ind. Robot 46 (2) (2019)
Adolfo Perrusquía, Carlos Tovar, Alberto Soria, Juan Carlos Martinez
Robust controller for aircraft roll control system using data flight parameters. CCE (2016)