This post explores how developers can leverage Gemini 2.5 to build sophisticated robotics applications, focusing on semantic scene understanding, spatial reasoning with code generation, and interactive robotics applications using the Live API. It also highlights safety measures and current applications by trusted testers.
Nexar benchmarks Google's Gemini 2.5 Pro against other Vision-Language Models (VLMs) using a dataset of real-world driving incident videos, highlighting a significant improvement in incident detection.
