Zakaria Chekakta

, , ,.

About

Dr. Zakaria Chekakta is a Lecturer in Robotics and AI Engineering at the University of Hertfordshire, bringing a wealth of experience in robotics research, teaching, and industrial applications. His academic journey began with a Ph.D. in Electronics and Industrial Control from the National Polytechnic School of Oran, Algeria, where he specialised in advanced optimal control for micro-UAVs. Complementing his doctoral studies, he holds an MS.c in Electronics and Embedded Systems and a BSc. in Electrical Engineering. Before joining the University of Hertfordshire, Dr. Chekakta served as a Research Fellow at City, University of London, contributing to cutting-edge projects in space robotics and multi-robot systems. His research focuses on applying artificial intelligence to robust control systems, cooperative robotics, and autonomous navigation. An active member of IEEE, he regularly reviews for esteemed journals and conferences in robotics and automation. Driven by a passion for innovation, Dr. Chekakta continues to advance research and education at the intersection of robotics and artificial intelligence.

Work

University of Hertfordshire

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, , United Kingdom of Great Britain and Northern Ireland

Summary

City University of London

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Research Fellow

, , United Kingdom of Great Britain and Northern Ireland

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Summary

Gaitech Korea

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Robotics Engineer

, , Korea (Republic of)

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Summary

Education

National Polytechnic School of Oran Maurice Audin (ENPO)

, , Algeria

National Polytechnic School of Oran Maurice Audin (ENPO)

, , Algeria
MSc Embedded Systems Engineering class

École Nationale Polytechnique d’Oran

, , Algeria
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Doctorate

Publications

CaDNET: An End-to-End Plenoptic Camera-Based Deep Learning Pose Estimation Approach for Space Orbital Rendezvous

IEEE Sensors Journal

journal-article

CaDNET: An End-to-End Plenoptic Camera-Based Deep Learning Pose Estimation Approach for Space Orbital Rendezvous

IEEE Sensors Journal

journal-article

AI-Enhanced Consensus-Based Bundle Algorithm For Cooperative Robots Task Planning

preprint

Collaborative SLAM with Convolutional Neural Network-based Descriptor for Inter-Map Loop Closure Detection

2024 10th International Conference on Automation, Robotics, and Applications, ICARA 2024

conference-paper

Enhancing Cooperative Visual SLAM with a Self-Supervised Deep Learning Model for Efficient Keypoint-Based Inter-map Loop Closure Detection

IEEE International Conference on Automation Science and Engineering

conference-paper

Towards Learning-Based Distributed Task Allocation Approach for Multi-Robot System

2024 10th International Conference on Automation, Robotics, and Applications, ICARA 2024

conference-paper

Fruity: A Multi-modal Dataset for Fruit Recognition and 6D-Pose Estimation in Precision Agriculture

2023 31st Mediterranean Conference on Control and Automation, MED 2023

conference-paper

Robust deep learning LiDAR-based pose estimation for autonomous space landers

Acta Astronautica

journal-article

Robust deep learning LiDAR-based pose estimation for autonomous space landers

Acta Astronautica

journal-article

Adaptive fuzzy model-free control for 3D trajectory tracking of quadrotor

International Journal Of Mechatronics And Automation

journal-article

Adaptive fuzzy model-free control for 3D trajectory tracking of quadrotor

International Journal of Mechatronics and Automation

journal-article

Model-Free Control applied for position control of Quadrotor using ROS

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

conference-paper

Model-free control applied for position control of quadrotor using ROS

2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

conference-paper

Self-tuning PID controller design using fuzzy logic for a VTOL quadrotor

conference-paper

Zakaria Chekakta