Doctoral research
Adaptive Robotic Construction Control
Hybrid RL–IELM–MPC control for robotic construction 3D printing.
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Muhammad Arslan
Mechanical Engineering PhD Candidate University of Houston
Researching intelligent robotic systems for advanced manufacturing. I combine experimental robotics, sensing, and intelligent control to address real-world manufacturing challenges.
RESEARCH & RECOGNITION
Selected work.
Doctoral Research
Sensor-Guided Same-Layer Repair
Laser-guided localization and same-layer repair of material-loss gaps in robotic construction 3D printing using grey-box and residual-informed planning.Manuscript Under Review — Automation in Construction
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Photopolymer Composite Additive Manufacturing
Collaborative research on dual-curing photopolymer composites and UV-assisted extrusion for civil infrastructure. Manuscript Under Review — Advanced Composites and Hybrid Materials
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Research Project
Predicting Concrete 3D Printing Layer Width
Predicting printed layer width from Webots simulation images using a CNN regressor.
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Earlier Research
Legged Robot Reinforcement Learning
Training a simulated Half Cheetah agent using deep reinforcement learning.
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Research Achievement
EMI 2026 — Award-Winning Research
Second Place — Experimental Analysis and Instrumentation Paper Competition
View award03 / PROFESSIONAL PROFILE
Research built for real-world impact.
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