EXPLORATION / 02
Experimental research connecting perception, robotic action, and process-aware decision making. Select a project to explore its scientific motivation, methods, and available media.
DOCTORAL WORK
A completed RL–IELM–MPC study combining simulation-trained guidance, continual online modeling, and constrained predictive control for robotic mortar printing.
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Completed physical experiments connecting laser-measured gap geometry with grey-box and residual-informed planning for localized same-layer repair in robotic construction 3D printing.
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Conventional construction-printing materials face challenges in balancing extrusion with the stabilization needed to retain deposited shapes. This collaborative doctoral research investigates an alternative dual-curing photopolymer composite for extrusion-based additive manufacturing of civil infrastructure. The project brings together material development, printability evaluation, data-driven formulation screening, printing demonstrations, and material characterization to investigate rapid stabilization during deposition and the evaluation of printed specimens.
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Concrete layer-width prediction and earlier reinforcement learning research in simulation.
A Webots simulation and image-based CNN regression study for predicting concrete 3D printing layer width.
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A collaborative course project studying simulated Half Cheetah locomotion with PPO and A2C in MuJoCo.
Explore researchEARLIER WORK
My M.Sc. thesis examined fused deposition modeling using finite element analysis. Related conference work studied process parameters through response surface methodology. As a Research Associate at UET Lahore, I wrote the successful proposal securing Pakistan Science Foundation–TÜBİTAK funding for binder-assisted PEEK, ceramic, and metal-based bone implants; carried out sample preparation, testing, and analysis.