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#Embodied perception

2026-09-10Thu
  1. Unitree63

    Unitree has fully open-sourced its UnifoLM-WLA-1.0 embodied foundation model, achieving new state-of-the-art results across multiple benchmarks. The model supports cross-task and cross-end-effector generalization, enabling whole-body coordination for both desktop and mobile manipulation.

    Editorial context:Unitree Robotics has open-sourced its UnifoLM-WLA-1.0 humanoid foundation model, which demonstrates strong cross-task and cross-end-effector generalization capabilities across desktop and whole-body manipulation tasks.

2026-07-28Tue
  1. Google DeepMind — Robotics88

    Gemini Robotics 2 brings whole body intelligence to robots

    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.

2026-04-13Mon
  1. Google DeepMind — Robotics85

    Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning

    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