As autonomous and intelligent robotic systems advance across automotive and industrial sectors, the role of real-time control, edge AI and no-code development platforms is rapidly growing. This session explores how emerging controller architectures and AI-driven software tools are unlocking new opportunities for machine builders, from material testing to autonomous operation. Drawing on field insights and recent breakthroughs, the talk will highlight the shift from traditional PLC/PAC systems toward purpose-built, intelligent control. Attendees will learn how no-code platforms and AI-enhanced firmware are enabling faster development, deeper customization and more adaptive machines, without requiring software teams.

• Understand the role of AI-driven controllers and no-code platforms in accelerating the development of autonomous robotic and test systems
• Explore how edge AI and FPGA-based architectures enable real-time decision-making in materials testing and automotive environments
• Learn why traditional PLC/PAC systems limit innovation – and how custom single-board controllers unlock new levels of performance and flexibility
• See how a no-R&D-cost approach to hardware and software empowers teams to build, test and deploy machines faster than ever before
• Gain practical insights from real-world applications in materials testing, with lessons that apply across autonomous and high-precision test setups