Antonio Pedro Aguiar

Professor

Universidade do Porto Faculdade de Engenharia

Portugal

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Antonio Pedro Aguiar is a Professor at Universidade do Porto Faculdade de Engenharia in Portugal. His research areas include deep reinforcement learning, distributed constrained optimization, and models of biological systems, as evidenced by his recent articles. He is actively involved in advancing techniques for mobile robots and addressing challenges in optimal control and robotic instrument localization.

Articles (27)

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Collaborators (14)

Susana M. P. Carvalho

University of Porto

PORTUGAL

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ANTÓNIO PASCOAL

Associate Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Guilherme Ramos

University of Lisbon

PORTUGAL

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Vitor Miguel Ribeiro

Assistant Professor

University of Porto

PORTUGAL

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Rui Gonçalves

University of Porto

PORTUGAL

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José Pedro Ferreira Pinheiro de Carvalho

Invited Assistant Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Daniel Silvestre

Universidade de Aveiro

PORTUGAL

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Roman Chertovskih

Assistant Professor

University of Porto

PORTUGAL

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Necdet Aybat

Assistant Professor

Pennsylvania State University

UNITED STATES

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Soummya Kar

Professor

Carnegie Mellon University

UNITED STATES

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Rafal Wisniewski

Professor at Aalborg University

Aalborg University

DENMARK

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Sérgio Pequito

Uppsala University

SWEDEN

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Sérgio Cruz

Prof.

University of Coimbra

PORTUGAL

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Rui Araújo

Assistant Professor

University of Coimbra

PORTUGAL

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Antonio Pedro Aguiar

Research Interests

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About

Articles (27)

Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots

Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots

An Accelerated Distributed Proportional-Integral Method for Distributed Constrained Optimization

An Accelerated Distributed Proportional-Integral Method for Distributed Constrained Optimization

A systematic approach to modeling synchronous generator using Markov parameters and Takagi–Sugeno fuzzy systems

Optimal Control of Diffusion Processes: Infinite-Order Variational Analysis and Numerical Solution

Optimal Control of Diffusion Processes: Infinite-Order Variational Analysis and Numerical Solution

Engineering approach to construct robust filter for mismatched nonlinear dynamic systems

Robotic Ultrasound-Guided Instrument Localization in Fetoscopy

Safe Robust Adaptive Motion Control for Underactuated Marine Robots

A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs

An in-reachability based classification of invariant synchrony patterns in weighted coupled cell networks

State Estimation and Control for Stochastic Quantum Dynamics With Homodyne Measurement: Stabilizing Qubits Under Uncertainty

CanKiwi: A Mechanistic Competition Model of Kiwifruit Bacterial Canker Disease Dynamics

Sixty Years of the Maximum Principle in Optimal Control: Historical Roots and Content Classification

Privacy-Preserving Average Consensus Through Network Augmentation

Privacy-Preserving Average Consensus Through Network Augmentation

Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture

Decomposition of Admissible Functions in Weighted Coupled Cell Networks

Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation

A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs

Optimal Control of Distributed Ensembles With Application to Bloch Equations

Quantum Pontryagin Neural Networks in Gamkrelidze Form Subjected to the Purity of Quantum Channels

Robust State Estimation Model for Low Voltage Distribution Networks in the Presence of Multiple Gross Errors

A Path-Following Controller for Marine Vehicles Using a Two-Scale Inner-Outer Loop Approach

A resilient continuous-time consensus method using a switching topology

Turn-to-Turn Short Circuit Fault Localization in Transformer Winding via Image Processing and Deep Learning Method

Collaborators (14)

Susana M. P. Carvalho

ANTÓNIO PASCOAL

Guilherme Ramos

Vitor Miguel Ribeiro

Rui Gonçalves

José Pedro Ferreira Pinheiro de Carvalho

Daniel Silvestre

Roman Chertovskih

Necdet Aybat

Soummya Kar

Rafal Wisniewski

Sérgio Pequito

Sérgio Cruz

Rui Araújo

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