SpatialScore introduces a comprehensive benchmark for evaluating multimodal large language models (MLLMs) in spatial understanding, consisting of the VGBench dataset and an extensive collection of 28K samples. It features the SpatialAgent, a multi-agent system designed for enhanced spatial reasoning, and reveals persistent challenges and improvements in spatial tasks through quantitative and qualitative evaluations.

Gemini models 2.5 Pro and Flash are revolutionizing robotics with advanced coding, reasoning, and multimodal capabilities, enhancing robots' spatial understanding. Developers can utilize these models and the Live API for applications such as semantic scene understanding, spatial reasoning, and interactive robotics, enabling robots to execute complex tasks through voice commands and code generation. The article highlights practical examples and the potential of Gemini's embodied reasoning model in various robotics applications.