Ashraf Fahmy

Senior Lecturer

Swansea University

United Kingdom

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About

Ashraf Fahmy is a Senior Lecturer at Swansea University in the United Kingdom. His research areas include robotics, human-robot cooperation, and energy management systems, as evidenced by his recent publications. These articles explore topics such as torque tracking for robotic hands, multi-dimensional learning algorithms, and the optimization of peer-to-peer energy trading systems. Dr. Fahmy's work contributes significantly to the fields of robotics and sustainable energy solutions.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (3)

Alexander Williams

Chief AI Officer

UNITED KINGDOM

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Mohammad Monfared

Senior Lecturer

Swansea University

UNITED KINGDOM

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Chunxu Li

Lecturer in Machine Learning & AI for Robotics

University of Plymouth

UNITED KINGDOM

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Ashraf Fahmy

Research Interests

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Articles (13)

Torque tracking position control of DLR-HIT II robotic hand using a real-time physics-informed neural network

Innovative multi-dimensional learning algorithm and experiment design for human-robot cooperation

Modeling the DLR-HIT II Robotic Hand: A Dual-Platform Simulation Approach in MATLAB and CoppeliaSim

Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System

Robust Tracking Control of Heterogeneous Robots With Uncertainty: A Super-Exponential Convergence Neurodynamic Approach

Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading

MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts

Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique

Forecast-Based Energy Management for Domestic PV-Battery Systems: A U.K. Case Study

Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II

Study on Magnetic Control Systems of Micro-Robots

Survey of Energy Harvesting Technologies for Wireless Sensor Networks

An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive

Collaborators (3)

Alexander Williams

Mohammad Monfared

Chunxu Li

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