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ENTITY Embodied Agents

Embodied Agents

PulseAugur coverage of Embodied Agents — every cluster mentioning Embodied Agents across labs, papers, and developer communities, ranked by signal.

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Total · 30d
2
7 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
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6 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_156407 ·

    New framework SENTINEL formally evaluates safety of AI embodied agents

    Researchers have introduced SENTINEL, a novel framework designed to formally evaluate the physical safety of embodied agents powered by foundation models. This framework offers a multi-level safety assessment, covering …

  2. RESEARCH · CL_139336 ·

    Embodied AI research advances grounded world models and agent collaboration · 8 sources tracked

    Recent research explores advancements in embodied AI, focusing on how biological systems acquire grounded world models through environmental interaction. Papers discuss frameworks for integrating AI intelligence into ph…

  3. RESEARCH · CL_91038 ·

    New frameworks enhance AI embodied manipulation with reasoning and physics grounding · 4 sources tracked

    Researchers have developed Guava, a framework designed to enhance embodied manipulation capabilities in AI agents by integrating high-level reasoning with external modules for perception, planning, and control. This har…

  4. TOOL · CL_79729 ·

    RECENT framework enables small language models to ground embodied agent skills

    Researchers have developed RECENT, a framework designed to improve skill grounding for embodied agents using small language models (sLMs). This approach treats skills as executable code, allowing for semantic intent to …

  5. TOOL · CL_56467 ·

    New MaskLAM Method Enhances Embodied Agent Training

    Researchers have developed a new method called MaskLAM to improve the training of embodied agents using latent action models. This technique addresses the issue of action-correlated visual distractors in videos, which c…

  6. TOOL · CL_53646 ·

    New POLAR Framework Enhances Personalized AI Agents with Long-Term Memory

    Researchers have introduced POLAR, a framework designed to enhance personalized assistance from multimodal large language model (MLLM)-based embodied agents. POLAR utilizes a multimodal knowledge graph to store semantic…

  7. RESEARCH · CL_48755 ·

    6G networks proposed for embodied agents with low-latency architecture

    A new research paper proposes a communication architecture for embodied agents that leverages the capabilities of 6G networks. The proposed system aims to meet the stringent, heterogeneous communication demands of agent…