Google DeepMind unveils Gemini Robotics 1.5 and Robotics-ER 1.5 models, enabling multi-step tasks for robots like sorting laundry, including by using web search
and They're Getting Even Smarter Kahekashan / The Hans India : Google DeepMind Empowers Robots with Smarter AI and Web Access for Real-World Problem-Solving Laurie Sullivan / MediaPost : Google's Vision-Action-Language Robots Rely On Internet Search The Robot Report : Gemini Robotics 1.5 enables agentic experiences, explains Google DeepMind Ryan Whitwam / Ars Technica : Google DeepMind unveils its first “thinking” robotics AI Sam Francis / Robotics & Automation News : DeepMind unveils Gemini Robotics 1.5 to bring AI agents into the physical world Vyom Ramani / Digit : Gemini Robotics 1.5: DeepMind's step toward robots that think, plan & act like humans Mike Wheatley / SiliconANGLE : Google's newest AI models make robots more intelligent and capable than ever before Emma Roth / The Verge : Google DeepMind's new AI models can search the web to help robots complete tasks X: Sundar Pichai / @sundarpichai : New Gemini Robotics 1.5 models will enable robots to better reason, plan ahead, use digital tools like Search, and transfer learning from one kind of robot to another. Our next big step towards general-purpose robots that are truly helpful — you can see how the robot reasons as [video] @googledeepmind : We're making robots more capable than ever in the physical world. 🤖 Gemini Robotics 1.5 is a levelled up agentic system that can reason better, plan ahead, use digital tools such as @Google Search, interact with humans and much more. Here's how it works 🧵 [video] LinkedIn: Peng Xu : 🎉 Our latest release Gemini Robotics 1.5 is here! — Another milestone towards solving physical world AGI. — Highlights: … Venkat Venkatraman : Our premise in #FusionStrategy is that the most promising new value will be unlocked when the physical and digital domains converge. … Bluesky: Philip Stephens / @philipstephens : All those hundreds of billions invested in AI. And what have the boffins at Google's DeepMind come up with? A robot so intelligent that it may soon to able to, well, sort the laundry.... www.ft.com/content/7843... Forums: r/google : Google DeepMind unveils its first “thinking” robotics AI | DeepMind researchers believe this is the dawn of agentic robots. r/singularity : Gemini Robotics 1.5 brings AI agents into the physical world
Context & Ripple Effects
Google DeepMind’s March release introduced Gemini 2.0-based Robotics and Robotics-ER for broader real-world robot tasks. This update extends that initial pair with planning, multi-step execution and digital-tool use, following an on-device robotics model and SDK aimed at adapting to new tasks from demonstrations.
The arc is from language-model reasoning applied to robots toward systems that can combine physical actions with external information. It also builds on DeepMind’s earlier work using Gemini’s long context to help robots navigate from simple instructions.
First-order effects
- Gemini Robotics 1.5 and Robotics-ER 1.5 give Google DeepMind’s robotics stack a new route to handle multi-step tasks, with web search available as an input to task completion.
- Robot developers using these models can combine planning and physical execution with digital tools, rather than treating a robot task as a closed, pre-specified sequence.
Second-order effects
- The release raises the bar for competing robotics-model providers: useful performance increasingly depends on connecting perception and action models to tool-use and information-retrieval layers, not only improving control policies.
- For robot integrators, the value proposition shifts toward reliable orchestration of models, tools and hardware; DeepMind’s earlier Gemini Robotics and Robotics-ER launch had already established the paired-model approach.
Third-order effects
- If such systems prove dependable, general-purpose robotics may be organized around agent platforms that coordinate embodied action with digital services, making integration and safety controls as important as the base model.
- Web-connected robots also widen the boundary of what must be governed: operators will need to manage the quality, permissions and traceability of information a machine uses while acting in the physical world.
The trend: This is part of the shift from narrowly trained robot controllers to embedded AI agents that plan, use tools and act across both digital and physical environments.