AI-Powered Robotics & Intelligent Lab Automation
Unite Physical and Digital to Build the Intelligent Laboratory of the Future
5/20/2026 - May 21, 2026
Laboratories are no longer defined by stand-alone instruments or isolated automation. In 2026, the focus shifts to connected, computationally aware, and AI-ready lab environments where robotics, data architecture, and digital infrastructure function as a unified system. The AI-Powered Robotics & Intelligent Lab Automation track explores how organizations are integrating robotic workcells, orchestration engines, laboratory data platforms, and cloud/edge computing into end-to-end, interoperable R&D ecosystems. Discussions span connected lab design, multimodal automation, data lineage and metadata frameworks, workflow harmonization, and the governance models required to scale digital and robotic transformation across sites. Speakers will share real-world strategies for building modular, multi-robot environments; preparing laboratory data streams for AI-driven experiment planning; and evolving from human-centric processes to hybrid human–machine scientific operations. Designed for automation engineers, R&D digital leaders, informatics architects, and operations strategists, this track provides the technical, architectural, and organizational playbooks needed to build the intelligent research environments powering next-generation discovery.