Physical and Theoretical Chemistry

Autonomous Laboratories, Robotics and High-Throughput Experimentation

Additional sessions will consider multi-objective and constrained optimisation, where trade-offs between yield, selectivity, cost and sustainability metrics must be handled explicitly. Presentations may cover platform architecture across academic and industrial laboratories, mobile robotics, and the automation of solid-state and electrochemical workflows. Discussion will extend to data standards, ontologies, electronic laboratory notebook integration, provenance and FAIR sharing, so that autonomous results remain reusable beyond the originating platform. Safety, hazard management and the operational economics of continuous autonomous operation will also be addressed. Reproducibility and cross-platform benchmarking will be emphasized, including blind challenges and reporting standards that allow the community to compare results obtained on different self-driving laboratory systems.