Vision & AI for Industrial Automation

Special Track as part of the Motion Control, Automation, Robotics & Power Solutions Conference

This dedicated track focuses on the integration of Machine Vision technologies and Artificial Intelligence (AI) within industrial automation, robotics, and smart manufacturing environments.

Throughout the day, leading experts will deliver professional presentations highlighting practical applications alongside cutting-edge technological advancements.

Topics include:

  • AI-Based Visual Inspection & Quality Control | Vision-Guided Robotics & Motion Control | Machine Vision for Autonomous Robots – Industrial & Beyond | 3D & Depth Vision in Automation | Embedded & Edge AI Vision Systems | Vision Software Platforms & Tools | Optics, Illumination & Imaging Engineering | Visual Safety & Human-Robot Collaboration | Vision for AMRs & Smart Logistics | AOI (Automated Optical Inspection) in Electronics | Vision in Harsh Industrial Environments

Topics are subject to change based on the final confirmed lectures.

Target Audience
Industrial professionals in automation, production, control, R&D, and technology procurement – involved in the development and implementation of Machine Vision and AI systems in manufacturing and robotics.
The track is intended for technical and engineering professionals – not for sales or marketing representatives.

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LAST YEAR EVENT

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  • VISION & AI FOR INDUSTRIAL AUTOMATION
  • VISION & AI FOR INDUSTRIAL AUTOMATION | 02.12.2025 | AMONG THE LECTURES
Dr. Sagie Benaim School of Computer Science and Engineering I The Hebrew University of Jerusalem
A Unified AI Framework for Real-Time Interactive 3D Visual Understanding

Prof. Roi Poranne, Department of Computer Science and Information I University of Haifa
Challenges in Immersive Teleoperation and How AI can Bridge the Gap

Prof. Nadav Cohen, Computer Science I Tel-Aviv University
AI for Control in Industrial Applications

Mr. Gil Bar-Yoav, Vice President Technical Support | Sales & Service Europe North & East / Middle East Managing Director Sales & Service Israel I Sick Sensors Ltd.
Revolutionizing Production: How AI-Based Machine Vision Drives Efficiency and Flexibility

Prof. Sarah Keren, Head of the Collaborative AI and Robotics (CLAIR) Lab, The Taub Faculty of Computer Science I Technion – Israel Institute of Technology
Smarter Collaboration for Autonomous AI Systems

Mr. Lior Ben-Horin, Sr. Manager, Developer Relations, Physical AI Ecosystem EMEA I Nvidia
The Next Wave of AI: Physical AI

Mr. Carlos Benaim, CEO I Deep Learning Robotics Ltd. (DLRob)
First Generation Of Plug and Play Robotics Powered by AI: Autopack, Auto Kitting and Precision Optics