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Mohammad Al-Hudban
Intern AI Engineer & Data Scientist specializing in GenAI, LLMs, and RAG
Leoben, AustriaIntern – Integrated Cyber-Physical Systems (CPS)0 years experienceInternTechnologyArtificial IntelligenceRobotics
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About
Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.
Experience
Intern – Integrated Cyber-Physical Systems (CPS)Montanuniversität Leoben, Chair of Cyber-Physical Systems
Education
Al-Hussein Technical University (HTU)bachelor, AI & Data Science (2026)
Key Strengths
- End-to-end development of a robot grasping pipeline (camera ingest → segmentation → planning → grasp execution)
- Hands-on ROS integration using publishers/subscribers for camera input and grasp-pose output
- Applied state-of-the-art segmentation (SAM 2.1) for robotics perception
- Leveraged MoveIt for automated motion planning and execution for a robotic arm
- Built a working pick-and-place/sorting system based on user-selected target objects
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