LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?

Understand

Many real-world applications of spatial intelligence, such as robotic control, autonomous driving, and automated assembly, require spatial reasoning across multiple sequential steps.

• However, the extent to which current Multimodal Large Language Models (MLLMs) possess this capability remains largely unexplored.
• Inspired by LEGO construction, a recreational activity that critically relies on multi-step spatial reasoning, we introduce LEGO-Puzzles: a benchmark designed to systematically evaluate the spatial reasoning capabilities of MLLMs from basic spatial understanding to multi-step planning.
• LEGO-Puzzles contains two task sets.