Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
On the map: Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
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Abstract (arXiv)
Foundation models, including large language models (LLMs) and vision-language models (VLMs), have recently enabled novel approaches to robot autonomy and human-robot interfaces. In parallel, vision-language-action models (VLAs) or large behavior models (LBMs) are increasing the dexterity and capabilities of robotic systems. This survey paper reviews works that advance agentic applications and architectures, including initial efforts with GPT-style interfaces and more complex systems where AI agents function as coordinators, planners, perception actors, or generalist interfaces. Such agentic architectures allow robots to reason over natural language instructions, invoke APIs, plan task sequences, or assist in operations and diagnostics. In addition to peer-reviewed research, due to the fast-evolving nature of the field, we highlight and include community-driven projects, ROS packages, and industrial frameworks that show emerging trends. We propose a taxonomy for classifying model integration approaches and present a comparative analysis of the role that agents play in different solutions in today's literature.
Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Placed in Embodied and 3D vision-language models, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 47 of its 66 references that are in the map. First posted on arXiv 7 Aug 2025.
Builds on
47 of 66 references.
Closest ancestors · 4
Same direction, newest first
- 2024BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation8 Oct
- 2024Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction15 Apr
- 2024Real-World Robot Applications of Foundation Models: A Review8 Feb
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control28 Jul
Other references · 43
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- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,348
- 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,191
- 2018World Modelscited by 1,513
- 2023Mastering Diverse Domains through World Modelscited by 1,253
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- 2023TD-MPC2: Scalable, Robust World Models for Continuous Controlcited by 512
- 2020Reinforcement Learning with Augmented Datacited by 468
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31 more
- 2024DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planningcited by 386
- 2023An Embodied Generalist Agent in 3D Worldcited by 365
- 2023ChatGPT for Robotics: Design Principles and Model Abilitiescited by 299
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- 2025General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Actingcited by 1
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Citing papers per year: 2025: 5; 2026: 14.
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- 2026Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Modelscited by 9
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- 2026Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence7 Aug 2026
- 2026You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement2 Aug 2026
- 2026Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models13 May 2026
- 2026From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems29 Apr 2026
- 2026ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding13 Apr 2026
- 2026Adversarial Moral Stress Testing of Large Language Models1 Apr 2026
- 2026Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning28 Jan 2026
- 2026Agentic AI for Self-Driving Laboratories in Soft Matter: Taxonomy, Benchmarks,and Open Challenges25 Jan 2026
7 more
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- 2026A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot9 Jan 2026
- 2025Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models29 Dec 2025
- 2025VL4Gaze: Unleashing Vision-Language Models for Gaze Following23 Dec 2025
- 2025ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications5 Nov 2025
- 2025Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark27 Sep 2025
- 2025Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action23 Sep 2025
- 2026Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learningcited by 11
- 2026Agentic AI Empowered Intent-Based Networking for 6Gcited by 7
- 2026You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvementcited by 2
- 2025Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Actioncited by 1
- 2025ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applicationscited by 1
- 2026A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robotcited by 1
- 2026Finder: Agentic Closed-Loop Object Finding for Embodied Groundingcited by 0
- 2026Finder: Agentic Closed-Loop Object Finding for Embodied Grounding16 Sep 2026
- 2026You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement2 Aug 2026
- 2026Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning28 Jan 2026
- 2026Agentic AI Empowered Intent-Based Networking for 6G10 Jan 2026
- 2026A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot9 Jan 2026
- 2025ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications5 Nov 2025
- 2025Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action23 Sep 2025
- 2026From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systemscited by 3
- 2025Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmarkcited by 2
- 2025Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Modelscited by 1
- 2026Adversarial Moral Stress Testing of Large Language Modelscited by 0
- 2026ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understandingcited by 0
- 2026Words to World: Benchmarking LLMs in Interactive Physical Environmentscited by 0
- 2026Words to World: Benchmarking LLMs in Interactive Physical Environments10 Oct 2026
- 2026From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems29 Apr 2026
- 2026ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding13 Apr 2026
- 2026Adversarial Moral Stress Testing of Large Language Models1 Apr 2026
- 2025Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models29 Dec 2025
- 2025Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark27 Sep 2025
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