Google released Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, two models that enable robots to reason, plan, and execute complex multi-step physical tasks in the real world. Gemini Robotics-ER 1.5 achieved state-of-the-art performance across 15 academic embodied reasoning benchmarks, including Point-Bench and ERQA. The models work together as an agentic system where the reasoning model plans high-level tasks and the vision-language-action model executes them, while also learning to transfer skills across different robot embodiments without specialization.
Researchers introduced CodeMender, an AI agent that automatically detects and fixes software vulnerabilities in code. Over six months, CodeMender generated 72 security patches for open-source projects, including some with 4.5 million lines of code, using reasoning capabilities to identify root causes and validate changes before human review. The tool enables developers to focus on building software while the system handles security patching and proactively rewrites existing code to use more secure APIs and data structures.
Google released Gemini 2.5 Computer Use, a specialized AI model that can interact with graphical user interfaces by clicking, typing, and scrolling through web pages and applications like humans do. The model outperforms leading alternatives on multiple web and mobile control benchmarks while maintaining lower latency. Developers can now build AI agents that automate tasks requiring direct UI interaction, such as form completion and workflow automation, through the Gemini API.
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