机器人
66 篇 · 资讯流Agentic World Action Models
Recent world action models provide visual foresight and future prediction for robot manipulation, but lack explicit mech
原文 ↗Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use
Multimodal agents (MMAs) sustain interaction through reasoning, memory, tools, and feedback, most visibly as computer-us
原文 ↗Causal world models under physical parameter shifts
World models predict how embodied systems evolve under actions, but their accuracy can degrade when physical conditions
原文 ↗UniWALM: Unified World Action Language Model for Embodied Robot Control
Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a
原文 ↗Large Multimodal Models for Direct Robot Control: GPT-6 as a Beginning
Recent advances in visuospatial understanding and agentic reasoning enable direct robotic manipulation with general-purp
原文 ↗Frontier LLMs Enter the World of Robotics: A Cross-Model Evaluation on RoboColiseum
Recent studies have explored the potential of multimodal large language models for robot control, yet the models' embodi
原文 ↗CovNav: Conformal Prediction-Guided Adaptive Inference for Object Goal Navigation
In object goal navigation (ObjectNav), an embodied agent must find a target object (e.g., "find a bed") in a previously
原文 ↗Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation
Multimodal reasoning provides robotic foundation models with predictive context needed for reliable action generation. H
原文 ↗GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation
Recent advances in multimodal models have enabled GPT-6 Astra to perform robotic manipulation through in-context learnin
原文 ↗ForagerSim: Evaluating Embodied Map-Based Reasoning in Large-Scale Dynamic Worlds
Animals build cognitive maps of vast environments, use them to perform map-based navigation, and might even be reusing t
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