Research output per year
Research output per year
Personal profile
Research interests
Lecturer and researcher with a strong background in robotics, AI, and autonomous systems. Experienced in both academic and industrial environments, with a focus on control systems, deep learning for robotics, and space applications.
- Robotics Systems Integration and Autonomous Navigation
- Multi-Robot Systems and Cooperative Autonomy
- AI and Machine Learning for Robotics Perception and Control
- Space Robotics and On-Orbit Servicing Applications
- Robotics Education and Human-Robot Interaction using X
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Dive into the research topics where Zakaria Chekakta is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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CaDNET: An End-to-End Plenoptic Camera-Based Deep Learning Pose Estimation Approach for Space Orbital Rendezvous
Chekakta, Z. & Aouf, N., 15 Sept 2024, In: IEEE Sensors Journal. p. 29441 29451 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Enhancing Cooperative Visual SLAM with a Self-Supervised Deep Learning Model for Efficient Keypoint-Based Inter-map Loop Closure Detection
Chekakta, Z., Zenati, A. & Aouf, N., 1 Sept 2024, 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). Institute of Electrical and Electronics Engineers (IEEE)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards Learning-Based Distributed Task Allocation Approach for Multi-Robot System
Chekakta, Z., Aouf, N., Govindaraj, S., Polisano, F. & De Cubber, G., 18 Jun 2024, 2024 10th International Conference on Automation, Robotics and Applications (ICARA).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Citations (Scopus) -
Robust deep learning LiDAR-based pose estimation for autonomous space landers
Chekakta, Z., Zenati, A. & Aouf, N., Dec 2022, In: Acta Astronautics.Research output: Contribution to journal › Article › peer-review
16 Citations (Scopus) -
Adaptive fuzzy model-free control for 3D trajectory tracking of quadrotor
Chekakta, Z., Zerikat, M., Bouzid, Y. & Koubaa, A., 2020, In: International Journal of Mechatronics and Automation.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)