Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems GPT-4 Technical Report

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems RT-H: Action Hierarchies Using Language

Reference 6

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Collaborating with language models for embodied reasoning

Reference 13

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Automated co-design of soft hand mor- phology and control strategy for grasping

Reference 14

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This paper cites Bayesian active learning for sim- to-real robotic perception.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Bayesian active learning for sim- to-real robotic perception

Reference 15

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This paper cites Embodied AI Agents: Modeling the World.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Embodied AI Agents: Modeling the World

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This paper cites Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy

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This paper cites RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Reference 20

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

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This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems The Essential Role of Causality in Foundation World Models for Embodied AI

Reference 22

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems An Embodied Generalist Agent in 3D World

Reference 23

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This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 24

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems GPT-4o System Card

Reference 25

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Adam: A Method for Stochastic Optimization

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This paper cites Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks

Reference 30

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This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 31

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems DeepSeek-V3 Technical Report

Reference 32

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Harnessing low-fidelity data to accelerate bayesian optimization via posterior regularization

Reference 34

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This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Closed Loop Interactive Embodied Reasoning for Robot Manipulation

Reference 37

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems On-robot bayesian reinforcement learning for pomdps

Reference 38

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 40

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems A Generalist Agent

Reference 41

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems An embodied incremental bayesian model of cross- situational word learning

Reference 42

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Visual Transformers: Token-based Image Representation and Processing for Computer Vision

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Building Cooperative Embodied Agents Modularly with Large Language Models

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Multimodal Chain-of-Thought Reasoning in Language Models

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems 3D-VLA: A 3D Vision-Language-Action Generative World Model

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems AgentStudio: A Toolkit for Building General Virtual Agents

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Dexgraspvla: A vision-language-action framework towards general dexterous grasping

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems WebArena: A Realistic Web Environment for Building Autonomous Agents

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Large language model as a policy teacher for training reinforcement learning agents

Reference 56

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems OpenVLA: An Open-Source Vision-Language-Action Model

Reference 1995

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems LLaMA: Open and Efficient Foundation Language Models

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2007

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems RT-1: Robotics Transformer for Real-World Control at Scale

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2013

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Qwen2 Technical Report

Reference 2015

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Spa- tiallm: Training large language models for structured indoor modeling

Reference 2016

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems A Very Brief and Critical Discussion on AutoML

Reference 2017

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 2018

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Reference 2019

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Qwen Technical Report

Reference 2020

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Sara-rt: Scaling up robotics transformers with self- adaptive robust attention

Reference 2021

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This paper cites Autort: Embodied foundation models for large scale orchestration of robotic agents.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Autort: Embodied foundation models for large scale orchestration of robotic agents

Reference 2022

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Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Qwen2.5-VL Technical Report

Reference 2023

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Observation 98fb2361-38df-4a16-ab48-2e47ff2f9c71 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-06T12:39:37.651115Z

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Observation d456677e-57af-4c87-9512-7993f3b2d7d3 · outbound

This paper cites How to sim2real with gaussian processes: Prior mean versus kernels as priors.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems How to sim2real with gaussian processes: Prior mean versus kernels as priors

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:46.074011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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