Mechatronics Engineer | Robotics Researcher | Embedded Systems Developer
Assistant Lecturer · Robotics Mentor · AI Explorer

I’m Hytham Tag, a Mechatronics Engineer and Robotics Lecturer who thrives on building systems that sense, learn, and adapt. With years of experience in academia, competitive robotics, and industrial prototyping, I specialize in:

• 🤖 Deep Reinforcement Learning & Robotic Manipulation
• 🔬 Robotic Vision, Embedded Systems, and Task Planning
• 🏆 Leading award-winning teams and building impactful AI-driven solutions

• Deep Reinforcement Learning & Robot Control
• Task & Motion Planning in Real-World Scenes
• Vision-Based Grasping and 3D Perception
• Embedded Robotics with Optimization Methods

• IEEE AIRC 2024 – Adaptive Robotic Grasping with Replay Tail Memory
• EnhancedPushGrasp (2025) – 95% DRL-based object manipulation in clutter – under review
• GA-Optimized LQR for Crane Control (2025) – under review

• 🥇 Mine Sweeper Worldwide – Spain
• 🥇 ISEIC Egypt – 1st Place, honored before the Minister of Defense
• 🥇 Helwan Robotics Competition – Multiple wins
• 🥇 IRC Robotics Challenge – Egypt & India

“Let’s build machines that don’t just move — they think, adapt, and solve.”