LG AI Research Develops 'RAPID', a Rapid Prototyping Platform for Industrial Automation

With the spread of smart logistics and smart factories, efficiently controlling large-scale robot fleets has emerged as a key challenge. However, existing simulation platforms have had limitations in being difficult to use in industrial settings that require quick decision-making, due to complex setup and long preparation times.

LG AI Research developed the RAPID platform to solve this problem, and unveiled it at the AAAI 2026 Demonstration Program. RAPID aims to simultaneously meet industry's demand for 'rapid validation' and academia's demand for 'standardized benchmarks.'

RAPID provides its user experience through two main core views.

• Environment Builder: A visual editor that allows users to intuitively place and design various components such as warehouses, robots, shelves, and conveyor belts via drag and drop. All designs can be exported to or imported from YAML files, ensuring high reproducibility.
• Simulation Dashboard: Provides an environment where various AI-based control strategies can be applied to and analyzed within the designed environment.

Through this, users can quickly obtain answers to practical questions such as 'How much would throughput increase if 5 robots were added?', dramatically shortening the validation process that previously took weeks to months.