Google DeepMind has introduced Gemini Robotics 2, a whole-body intelligence model that enables robots to reason through every movement, unlocking a broad range of tasks such as walking, crouching, stretching, and manipulating objects. The model can also team up with other robots to finish tasks faster and run locally on-device with fast adaptation to new robot embodiments. AI summary
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Claude Opus 5 is highlighted alongside Digibee’s use of Opik to construct prompts that power their AI-native integration platform, and a new paper introduces Progress Reward Modeling for improving robotic learning. The issue also mentions additional developments and resources in deep learning. AI summary
This paper proposes a new method for robots in a swarm to predict the same future state from local observations and limited messages, and shows that it can outperform a simpler approach with less training data. Practitioners might care because it could lead to more efficient and effective collective decision-making in swarms of robots.
This paper introduces TurboVLA, a new vision-language-action model that reduces computation and memory overhead by directly exchanging information between visual observations and language instructions, allowing for faster and more efficient robotic manipulation. Practitioners might care about this approach for building more efficient and effective VLA models.
Gemini Robotics 2 brings whole-body intelligence to robots, enabling them to reason through every movement, unlock a broad range of tasks, and collaborate with other robots. This advanced dexterity and multi-robot collaboration are achieved through three models: Gemini Robotics 2, Gemini Robotics ER 2, and Gemini Robotics On-Device 2, which can adapt to new robot embodiments with just a few hours of data. AI summary
Lip Bu Tan, CEO of Intel, discusses his mission to turn around the iconic semiconductor company by fostering a startup culture, prioritizing customer satisfaction, and driving accountability. He details Intel's strategy to strengthen its ba…
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