Paper Citation Record · LEDGER

Foundation Model Driven Robotics: A Comprehensive Review

As of 11 August 2026, this Paper Citation Record lists 100 of 175 outbound references and 5 inbound Pith citation observations for arXiv:2507.10087.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.10087 v1

Coverage vector

measured 100 of 175 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:53.250084Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:17:28.837338Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T13:24:40.290925Z

Reference resolution

100 of 175 outbound references displayed

verified exact6
verified fuzzy0
unresolved94
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a81043c6-9989-45c1-8d69-96649724d55a · outbound

This paper cites Attention is all you need,.

Foundation Model Driven Robotics: A Comprehensive Review Attention is all you need,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.966702Z

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Observation f01673e6-84ab-4ea9-8344-8336642fe1eb · outbound

This paper cites A survey on integration of large language models with intelligent robots,.

Foundation Model Driven Robotics: A Comprehensive Review A survey on integration of large language models with intelligent robots,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.971430Z

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Observation 429a2da5-08a5-440e-b754-0f83dd2928db · outbound

This paper cites Gpt-3: Its nature, scope, limits, and consequences,.

Foundation Model Driven Robotics: A Comprehensive Review Gpt-3: Its nature, scope, limits, and consequences,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.975065Z

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Observation cf05072e-39ad-4d4d-8ede-7a3a5d7c4509 · outbound

This paper cites Pathways language model (palm): Scaling to 540 billion parameters for breakthrough performance,.

Foundation Model Driven Robotics: A Comprehensive Review Pathways language model (palm): Scaling to 540 billion parameters for breakthrough performance,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.978365Z

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Observation f81c728c-56bc-4b2d-b869-f3617aac4587 · outbound

This paper cites Language mod- els are few-shot learners,.

Foundation Model Driven Robotics: A Comprehensive Review Language mod- els are few-shot learners,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.981067Z

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Observation 06162ffd-c0b6-4ec6-8d48-ea1ebefbe8b8 · outbound

This paper cites Gpt-4 is here: what scientists think,.

Foundation Model Driven Robotics: A Comprehensive Review Gpt-4 is here: what scientists think,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.984166Z

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Observation fcadb957-7785-4176-a0f9-9a0a80d5dbf5 · outbound

This paper cites Swarm robotics: Past, present, and future [point of view],.

Foundation Model Driven Robotics: A Comprehensive Review Swarm robotics: Past, present, and future [point of view],

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.987668Z

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Observation 708ea817-1b33-4992-afff-f9f54f733be9 · outbound

This paper cites Deep learning in robotics: Survey on model structures and training strategies,.

Foundation Model Driven Robotics: A Comprehensive Review Deep learning in robotics: Survey on model structures and training strategies,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.990084Z

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Observation dfe59876-ec05-4761-b364-a63ff8b01227 · outbound

This paper cites The strategic impacts of intelligent automation for knowledge and service work: An interdisciplinary review,.

Foundation Model Driven Robotics: A Comprehensive Review The strategic impacts of intelligent automation for knowledge and service work: An interdisciplinary review,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.992764Z

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Observation 036a0eb9-0b26-4b40-9705-3ebd849cb757 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Foundation Model Driven Robotics: A Comprehensive Review Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.995784Z

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Observation 1c5c9b5d-1044-48c6-b4ee-4a0d476d8d19 · outbound

This paper cites Lever- aging pre-trained large language models to construct and utilize world models for model-based task planning,.

Foundation Model Driven Robotics: A Comprehensive Review Lever- aging pre-trained large language models to construct and utilize world models for model-based task planning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:52.998657Z

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Observation 1bc935bc-2aef-4f42-ac60-8340f5b7009c · outbound

This paper cites Code as policies: Language model programs for em- bodied control,.

Foundation Model Driven Robotics: A Comprehensive Review Code as policies: Language model programs for em- bodied control,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.000994Z

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Observation ff89355f-42fe-43f9-9409-0ad40d93ff15 · outbound

This paper cites Large language models for robotics: Opportunities, challenges, and perspectives,.

Foundation Model Driven Robotics: A Comprehensive Review Large language models for robotics: Opportunities, challenges, and perspectives,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.003990Z

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Observation 4f7ffaa8-2358-40f5-9893-36c9a7442234 · outbound

This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought,.

Foundation Model Driven Robotics: A Comprehensive Review Embodiedgpt: Vision-language pre-training via embodied chain of thought,

Reference 14

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Observation 79f1328a-e861-4553-8af2-5ca0f2172acc · outbound

This paper cites Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models.

Foundation Model Driven Robotics: A Comprehensive Review Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.010390Z

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Observation 37e35da3-0092-43c2-a99a-3138b0b33590 · outbound

This paper cites Integrating action knowledge and llms for task planning and situation handling in open worlds,.

Foundation Model Driven Robotics: A Comprehensive Review Integrating action knowledge and llms for task planning and situation handling in open worlds,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.013583Z

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Observation bb848f5b-1077-4f32-9158-78218744ba6a · outbound

This paper cites Large language models for robotics: A survey,.

Foundation Model Driven Robotics: A Comprehensive Review Large language models for robotics: A survey,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.016762Z

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Observation 12f25ca1-5087-4740-aadf-6063e2b76bb1 · outbound

This paper cites Large Language Models for Multi-Robot Systems: A Survey.

Foundation Model Driven Robotics: A Comprehensive Review Large Language Models for Multi-Robot Systems: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.019439Z

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Observation 64c2752e-34ea-4e11-b6cc-3d06e73c86ed · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Foundation Model Driven Robotics: A Comprehensive Review Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.022100Z

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Observation 7fd45ab3-071d-4f1b-a768-e55f79497677 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,.

Foundation Model Driven Robotics: A Comprehensive Review Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.025662Z

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Observation e6979b36-67e8-448c-8817-9672fb611165 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models,.

Foundation Model Driven Robotics: A Comprehensive Review Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.028751Z

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Observation 65f4fb04-d769-4cbe-83be-1a42dc53d471 · outbound

This paper cites Emergent Abilities of Large Language Models.

Foundation Model Driven Robotics: A Comprehensive Review Emergent Abilities of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.031279Z

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Observation 688606e1-ba67-4b59-a331-13d403c5457d · outbound

This paper cites Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs.

Foundation Model Driven Robotics: A Comprehensive Review Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:54.705442Z

Source-reported events for the cited work

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Observation c1c7b710-a863-4a17-bf9d-d49a8bbeca28 · outbound

This paper cites Llm-based code generation method for golang compiler testing,.

Foundation Model Driven Robotics: A Comprehensive Review Llm-based code generation method for golang compiler testing,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.038241Z

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Observation 87f2a83c-cf66-4a10-a6c1-4ea09883b6c3 · outbound

This paper cites Nl2plan: Robust llm- driven planning from minimal text descriptions,.

Foundation Model Driven Robotics: A Comprehensive Review Nl2plan: Robust llm- driven planning from minimal text descriptions,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.040632Z

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Observation 92ef591d-d7a3-485c-b664-82b7ba8293c5 · outbound

This paper cites When robots get chatty: Grounding multimodal human-robot conversation and collaboration,.

Foundation Model Driven Robotics: A Comprehensive Review When robots get chatty: Grounding multimodal human-robot conversation and collaboration,

Reference 26

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Observation f7b05840-4bfd-4f32-8632-6a4a79de9eca · outbound

This paper cites Understanding large-language model (llm)-powered human-robot interaction,.

Foundation Model Driven Robotics: A Comprehensive Review Understanding large-language model (llm)-powered human-robot interaction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.045288Z

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Observation 51f0d302-f762-48fb-83e7-dc77fdb1d2bd · outbound

This paper cites Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model,.

Foundation Model Driven Robotics: A Comprehensive Review Llm-brain: Ai-driven fast generation of robot behaviour tree based on large language model,

Reference 28

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Observation 8e19a9f0-e952-4899-9b48-c2d25de9ce6a · outbound

This paper cites Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction.

Foundation Model Driven Robotics: A Comprehensive Review Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.049974Z

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Observation da5901a1-0171-45ca-b748-fb5bf32bde6c · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

Foundation Model Driven Robotics: A Comprehensive Review Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 30

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Observation b813ef02-3656-4ca8-8c44-b0022b5ced96 · outbound

This paper cites Questioning, answering, and captioning for zero-shot detailed image caption,.

Foundation Model Driven Robotics: A Comprehensive Review Questioning, answering, and captioning for zero-shot detailed image caption,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.056391Z

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Observation c9133922-0a62-4c7a-8fd9-77aabb49e315 · outbound

This paper cites Right this way: Can vlms guide us to see more to answer questions?.

Foundation Model Driven Robotics: A Comprehensive Review Right this way: Can vlms guide us to see more to answer questions?

Reference 32

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Observation e1c538fe-0dbf-4454-9c19-4e70034d0425 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

Foundation Model Driven Robotics: A Comprehensive Review CogVLM2: Visual Language Models for Image and Video Understanding

Reference 33

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Observation 207fcfd4-4994-4a09-8c29-783590187313 · outbound

This paper cites Physically grounded vision-language models for robotic manipulation,.

Foundation Model Driven Robotics: A Comprehensive Review Physically grounded vision-language models for robotic manipulation,

Reference 34

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Observation dc0161f2-4333-40bd-bda1-ddc9dd4094a8 · outbound

This paper cites Lmeye: An interactive perception network for large language models,.

Foundation Model Driven Robotics: A Comprehensive Review Lmeye: An interactive perception network for large language models,

Reference 35

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This paper cites Chat with the environment: Interactive multimodal perception using large language models,.

Foundation Model Driven Robotics: A Comprehensive Review Chat with the environment: Interactive multimodal perception using large language models,

Reference 36

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Observation 3ea53894-51f2-43e4-b7ca-0c36700afe86 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Foundation Model Driven Robotics: A Comprehensive Review Learning transferable visual models from natural language supervision,

Reference 37

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This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

Foundation Model Driven Robotics: A Comprehensive Review SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 38

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Foundation Model Driven Robotics: A Comprehensive Review Flamingo: a visual language model for few-shot learning,

Reference 39

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Foundation Model Driven Robotics: A Comprehensive Review Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 40

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Foundation Model Driven Robotics: A Comprehensive Review Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 41

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Foundation Model Driven Robotics: A Comprehensive Review Llm-bt: Performing robotic adaptive tasks based on large language models and behavior trees,

Reference 42

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Foundation Model Driven Robotics: A Comprehensive Review Llm text generation for service robot context,

Reference 43

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Foundation Model Driven Robotics: A Comprehensive Review Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 44

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Foundation Model Driven Robotics: A Comprehensive Review Large language models as zero-shot human models for human-robot interaction,

Reference 45

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Foundation Model Driven Robotics: A Comprehensive Review Foundation models in robotics: Applications, challenges, and the future,

Reference 46

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Foundation Model Driven Robotics: A Comprehensive Review Enabling action crossmodality for a pretrained large language model,

Reference 47

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Foundation Model Driven Robotics: A Comprehensive Review Evaluating Large Language Models Trained on Code

Reference 48

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This paper cites RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

Foundation Model Driven Robotics: A Comprehensive Review RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Reference 49

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Foundation Model Driven Robotics: A Comprehensive Review LLMs for Coding and Robotics Education

Reference 50

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Observation 086fe06a-6c45-4dc0-822a-0bec2f128e80 · outbound

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Foundation Model Driven Robotics: A Comprehensive Review 3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.111895Z

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Observation 35939d5d-4f96-4a91-a96e-8bee8a322914 · outbound

This paper cites Integrating large language model for natural language-based instruction toward robust human-robot collaboration,.

Foundation Model Driven Robotics: A Comprehensive Review Integrating large language model for natural language-based instruction toward robust human-robot collaboration,

Reference 52

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Observation edaeff58-e50d-4c95-bab0-bbb31136e861 · outbound

This paper cites Applying large language model to a control system for multi-robot task assignment,.

Foundation Model Driven Robotics: A Comprehensive Review Applying large language model to a control system for multi-robot task assignment,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.117293Z

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Observation e015707f-0813-4ed4-87ab-e190d9248f80 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Foundation Model Driven Robotics: A Comprehensive Review Training language models to follow instructions with human feedback,

Reference 54

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This paper cites Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model.

Foundation Model Driven Robotics: A Comprehensive Review Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.122220Z

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Observation 3f1cb0f2-3881-4903-866a-359c01268742 · outbound

This paper cites An overview of robot embodied intelligence based on multimodal models: Tasks, models, and system schemes,.

Foundation Model Driven Robotics: A Comprehensive Review An overview of robot embodied intelligence based on multimodal models: Tasks, models, and system schemes,

Reference 56

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Observation bce96082-010f-4c6b-8b8f-5b1bc3af2ef4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Foundation Model Driven Robotics: A Comprehensive Review LLaMA: Open and Efficient Foundation Language Models

Reference 57

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Observation 15fa4bde-9bed-4f89-92fb-5877595fe4bc · outbound

This paper cites Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,.

Foundation Model Driven Robotics: A Comprehensive Review Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,

Reference 58

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Foundation Model Driven Robotics: A Comprehensive Review Robomamba: Efficient vision-language-action model for robotic reasoning and manipulation,

Reference 59

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Observation 443b29f6-085e-44a6-adb5-f56208fb7f38 · outbound

This paper cites Deployment of large language models to control mobile robots at the edge,.

Foundation Model Driven Robotics: A Comprehensive Review Deployment of large language models to control mobile robots at the edge,

Reference 60

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Observation 3eba63de-0b43-45d3-b905-270cef3bceb0 · outbound

This paper cites Language, camera, autonomy! prompt-engineered robot control for rapidly evolving deployment,.

Foundation Model Driven Robotics: A Comprehensive Review Language, camera, autonomy! prompt-engineered robot control for rapidly evolving deployment,

Reference 61

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This paper cites Vilbert: Pretraining task- agnostic visiolinguistic representations for vision-and-language tasks,.

Foundation Model Driven Robotics: A Comprehensive Review Vilbert: Pretraining task- agnostic visiolinguistic representations for vision-and-language tasks,

Reference 62

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Observation db4e6f66-3f08-4cb0-a0b8-bcb716cf2006 · outbound

This paper cites Transformer-based vision- language alignment for robot navigation and question answering,.

Foundation Model Driven Robotics: A Comprehensive Review Transformer-based vision- language alignment for robot navigation and question answering,

Reference 63

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Observation 1a2fc12d-9dc2-4ddb-b991-b464b8b81f32 · outbound

This paper cites CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision.

Foundation Model Driven Robotics: A Comprehensive Review CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision

Reference 64

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Observation c8207819-edcf-4259-8e98-0252a185c289 · outbound

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Foundation Model Driven Robotics: A Comprehensive Review Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications

Reference 65

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Observation 1051ddea-5634-4486-9a6f-ddd22f913234 · outbound

This paper cites Roboclip: One demonstration is enough to learn robot policies,.

Foundation Model Driven Robotics: A Comprehensive Review Roboclip: One demonstration is enough to learn robot policies,

Reference 66

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Observation ba59535f-e232-4a3e-aaa1-0678da5d1c0e · outbound

This paper cites Clip feature-based random- ized control using images and text for multiple tasks and robots,.

Foundation Model Driven Robotics: A Comprehensive Review Clip feature-based random- ized control using images and text for multiple tasks and robots,

Reference 67

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Observation b6c5e033-1745-452f-968f-33007d7bdd5b · outbound

This paper cites CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.

Foundation Model Driven Robotics: A Comprehensive Review CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

Reference 68

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Observation 74910d3f-4c75-4a7d-97a8-71af77f65a74 · outbound

This paper cites Vision-Language Models as Success Detectors.

Foundation Model Driven Robotics: A Comprehensive Review Vision-Language Models as Success Detectors

Reference 69

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Observation 0e2fd250-f329-484b-8697-fc205fa3db49 · outbound

This paper cites RoboFlamingo-Plus: Fusion of Depth and RGB Perception with Vision-Language Models for Enhanced Robotic Manipulation.

Foundation Model Driven Robotics: A Comprehensive Review RoboFlamingo-Plus: Fusion of Depth and RGB Perception with Vision-Language Models for Enhanced Robotic Manipulation

Reference 70

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Observation 183c7fc8-ad4b-49d0-889c-342615ec4aca · outbound

This paper cites Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception.

Foundation Model Driven Robotics: A Comprehensive Review Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:54.501203Z

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Observation 3939c81a-966c-4541-a739-35d0458509b0 · outbound

This paper cites Robotic environmental state recognition with pre-trained vision- language models and black-box optimization,.

Foundation Model Driven Robotics: A Comprehensive Review Robotic environmental state recognition with pre-trained vision- language models and black-box optimization,

Reference 72

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Observation 721a6f4d-339e-4d7c-8eca-42d6260b394e · outbound

This paper cites GPT-4 Technical Report.

Foundation Model Driven Robotics: A Comprehensive Review GPT-4 Technical Report

Reference 73

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Observation 70837aad-e7bd-4052-bae7-923fe7d1ea64 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Foundation Model Driven Robotics: A Comprehensive Review The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 74

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Observation ab233425-dca3-4bea-8d70-b20050201293 · outbound

This paper cites Next-generation human- robot interaction with chatgpt and robot operating system,.

Foundation Model Driven Robotics: A Comprehensive Review Next-generation human- robot interaction with chatgpt and robot operating system,

Reference 75

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Observation 72f894cf-adf2-4cf3-9590-225cbb2ef1e0 · outbound

This paper cites Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics.

Foundation Model Driven Robotics: A Comprehensive Review Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:54.467911Z

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Observation d2cf2e7f-339a-4b26-ae96-51be127d27ec · outbound

This paper cites Dobby: a conversational service robot driven by gpt-4,.

Foundation Model Driven Robotics: A Comprehensive Review Dobby: a conversational service robot driven by gpt-4,

Reference 77

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Observation 79c7388d-ae1e-4c41-8acb-5e84bc728540 · outbound

This paper cites Exploring GPT-4 for Robotic Agent Strategy with Real-Time State Feedback and a Reactive Behaviour Framework.

Foundation Model Driven Robotics: A Comprehensive Review Exploring GPT-4 for Robotic Agent Strategy with Real-Time State Feedback and a Reactive Behaviour Framework

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:54.452625Z

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Observation 61ddccee-4f63-4d21-9386-afef9b5fe9aa · outbound

This paper cites From Text to Motion: Grounding GPT-4 in a Humanoid Robot "Alter3".

Foundation Model Driven Robotics: A Comprehensive Review From Text to Motion: Grounding GPT-4 in a Humanoid Robot "Alter3"

Reference 79

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Observation 1362af2e-b5cc-4afa-9ed8-55e384f4db9e · outbound

This paper cites Improved baselines with visual instruction tuning,.

Foundation Model Driven Robotics: A Comprehensive Review Improved baselines with visual instruction tuning,

Reference 80

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Observation 1cac8f07-29b3-4369-bd23-deb5eb4bae02 · outbound

This paper cites Reasoning Grasping via Multimodal Large Language Model.

Foundation Model Driven Robotics: A Comprehensive Review Reasoning Grasping via Multimodal Large Language Model

Reference 81

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Observation b5371277-8e79-4797-ab8d-c1eabf6250ec · outbound

This paper cites Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets.

Foundation Model Driven Robotics: A Comprehensive Review Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets

Reference 82

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Observation e4d5d4b2-1f02-418a-8b1e-f3d77f1f5cf8 · outbound

This paper cites Palm-e: An embodied multimodal language model,.

Foundation Model Driven Robotics: A Comprehensive Review Palm-e: An embodied multimodal language model,

Reference 83

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Observation fe551a0a-1d45-465c-9b5c-8c3e52cedf89 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Foundation Model Driven Robotics: A Comprehensive Review Palm: Scaling language modeling with pathways,

Reference 84

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Observation 2c64c9d0-b6e8-4db2-9b14-6af0f9adb33a · outbound

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Foundation Model Driven Robotics: A Comprehensive Review Evalu- ating llms for code generation in hri: A comparative study of chatgpt, gemini, and claude,

Reference 85

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Observation c6f9a4b5-b2a1-49ef-87cc-1b3b4674c425 · outbound

This paper cites Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models.

Foundation Model Driven Robotics: A Comprehensive Review Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:54.409531Z

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Observation 70c2cdef-9fe4-4d16-ab62-40d5f6437719 · outbound

This paper cites Task specific evaluation of large language models: A study for human-robot interaction,.

Foundation Model Driven Robotics: A Comprehensive Review Task specific evaluation of large language models: A study for human-robot interaction,

Reference 87

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Observation 4883e196-2f60-4567-a25f-bec3cd1c2b4d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Foundation Model Driven Robotics: A Comprehensive Review Gemini: A Family of Highly Capable Multimodal Models

Reference 88

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Observation 4908e8aa-5d6f-4715-8234-25749d4813c4 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Foundation Model Driven Robotics: A Comprehensive Review GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 89

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Observation f4d28fa8-38ba-49e3-aff9-376777722c75 · outbound

This paper cites Xie, Fundamentals of robotics: linking perception to action.

Foundation Model Driven Robotics: A Comprehensive Review Xie, Fundamentals of robotics: linking perception to action

Reference 90

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Observation 6315f183-9d4a-49a0-ad33-23dd931e2e29 · outbound

This paper cites Active haptic perception in robots: a review,.

Foundation Model Driven Robotics: A Comprehensive Review Active haptic perception in robots: a review,

Reference 91

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Observation 72613e1c-c6fe-4316-9242-8639d6823510 · outbound

This paper cites A survey on coverage path planning for robotics,.

Foundation Model Driven Robotics: A Comprehensive Review A survey on coverage path planning for robotics,

Reference 92

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Observation 1b1f4513-601d-425b-9af3-65507829c60f · outbound

This paper cites Kurdila and P.

Foundation Model Driven Robotics: A Comprehensive Review Kurdila and P

Reference 93

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Observation e827c9da-573d-4b12-bbc4-f67ab15b9c12 · outbound

This paper cites Human–robot interaction: status and challenges,.

Foundation Model Driven Robotics: A Comprehensive Review Human–robot interaction: status and challenges,

Reference 94

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Observation 9104c43b-2ce9-4d17-950c-94c4f6837623 · outbound

This paper cites Deep learning and machine learning–object detection and semantic segmentation: From theory to applications,.

Foundation Model Driven Robotics: A Comprehensive Review Deep learning and machine learning–object detection and semantic segmentation: From theory to applications,

Reference 95

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Observation 6be612ca-4ced-48fe-a8db-e54d8c74b8ba · outbound

This paper cites Language-Augmented Symbolic Planner for Open-World Task Planning.

Foundation Model Driven Robotics: A Comprehensive Review Language-Augmented Symbolic Planner for Open-World Task Planning

Reference 96

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Observation 0b695ac6-e94c-4914-af98-6d8bc672faf2 · outbound

This paper cites Practical pid controller tuning for motion control,.

Foundation Model Driven Robotics: A Comprehensive Review Practical pid controller tuning for motion control,

Reference 97

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Observation ca9f771a-1405-4cbf-a850-1b91b340ce09 · outbound

This paper cites From grounding to manipulation: Case studies of founda- tion model integration in embodied robotic systems,.

Foundation Model Driven Robotics: A Comprehensive Review From grounding to manipulation: Case studies of founda- tion model integration in embodied robotic systems,

Reference 98

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:43:54.317229Z

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Observation 39cc3fd0-199a-4889-8db1-d86491b93ee3 · outbound

This paper cites Open-World Object Manipulation using Pre-trained Vision-Language Models.

Foundation Model Driven Robotics: A Comprehensive Review Open-World Object Manipulation using Pre-trained Vision-Language Models

Reference 99

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Observation e11b52a6-047b-4546-9541-86d81f48264d · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook,.

Foundation Model Driven Robotics: A Comprehensive Review Foundation models defining a new era in vision: a survey and outlook,

Reference 100

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Pith citing papers

Observation 60850933-dfc1-4d6a-938c-47311466340a · inbound

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Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Foundation Model Driven Robotics: A Comprehensive Review

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.105503Z

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Observation a9748090-7c5e-4474-9a0a-45300717ccb3 · inbound

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Language Movement Primitives: Grounding Language Models in Robot Motion Foundation Model Driven Robotics: A Comprehensive Review

Reference 26

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Observation d845693c-dc6c-49fb-82bc-1982b0767086 · inbound

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Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap Foundation Model Driven Robotics: A Comprehensive Review

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.670981Z

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Observation bc450f90-3620-43c5-8312-fed111e1cef1 · inbound

IntentVLM: Open-Vocabulary Intention Recognition through Forward-Inverse Modeling with Video-Language Models cites this paper.

IntentVLM: Open-Vocabulary Intention Recognition through Forward-Inverse Modeling with Video-Language Models Foundation Model Driven Robotics: A Comprehensive Review

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:46:11.432831Z

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Observation 423487fa-85c4-4e1e-9d21-0ad9accf818e · inbound

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World Models as Group Actions Foundation Model Driven Robotics: A Comprehensive Review

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.292307Z

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