Genesis v1.4.1 Enhances Performance in Large Scenes
Genesis v1.4.1 improves CPU and GPU performance in large scenes with sub-linear speed scaling. It also fixes bugs and adds features for better scene handling and simulation.
Genesis v1.4.1 improves CPU and GPU performance in large scenes with sub-linear speed scaling. It also fixes bugs and adds features for better scene handling and simulation.
Google DeepMind has launched Gemini Robotics ER 2, a new model that enhances robotics through video understanding, task orchestration, and multi-robot collaboration. It enables robots to perform complex tasks, adapt in real-time, and work together in shared environments. The model also improves safety and spatial reasoning capabilities, with performance benchmarks showing significant gains over previous versions.
Editorial context:Google DeepMind's Gemini Robotics ER 2 introduces a significant advancement in embodied reasoning for robotics, integrating video understanding, task orchestration, and multi-robot collaboration. It outperforms its predecessor in tool orchestration and safety benchmarks, enabling more robust and adaptive physical AI systems.
Google DeepMind has released Gemini Robotics 2, a new model that enables robots to perform complex tasks with whole-body intelligence, advanced dexterity, and multi-robot collaboration. The model supports real-time reasoning, on-device adaptation, and safety features for human-robot interaction.
Editorial context:Google DeepMind introduces Gemini Robotics 2, a significant advancement in whole-body control and multi-robot collaboration for embodied AI. The release highlights improvements in dexterity, reasoning, and on-device adaptation, with a focus on safety and real-world task execution.
Google DeepMind has released Gemini Robotics-ER 1.6, an upgraded model that enhances embodied reasoning for robotics. This model improves spatial reasoning, multi-view understanding, and safety compliance, enabling robots to perform complex tasks like instrument reading. It is available via the Gemini API and Google AI Studio, with examples provided in a developer Colab.
Editorial context:Google DeepMind's Gemini Robotics-ER 1.6 represents a significant advancement in embodied reasoning for robotics, enhancing spatial reasoning, multi-view understanding, and safety compliance. It introduces instrument reading capabilities, crucial for industrial applications, and demonstrates improved performance over previous versions in both task success detection and safety instruction following