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GPT-4

GPT-4

16 Oct 20261 min read

  • entity

OpenAI’s large language and vision-language models. Many planning and scene graph papers call them over the network, so the robot depends on a link and a hosted model.

Mentioned in

11 papers:

  • Physical prompt injection (2026)
  • BiMoSG (2026)
  • FunGraph (2025)
  • LalaEval (2024)
  • INVARLLM (2024)
  • OpenGraph (2024)
  • HOV-SG (2024)
  • LLM-guided scene graph planning (2023)
  • SayPlan (2023)
  • ConceptGraphs (2023)
  • Language-enabled spatial ontologies (2023)

Notes:

  • Language-grounded planning
  • Open-vocabulary mapping

Graph View

Backlinks

  • Catalogue
  • Entities
  • Robot learning
  • LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models
  • Planning and navigation
  • Language-grounded planning
  • Optimal Scene Graph Planning with Large Language Model Guidance
  • SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
  • INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
  • Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled Robots
  • Open-vocabulary mapping
  • OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments
  • ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  • Seeing Fast and Slow: Bimodal 3D Scene Graphs for Open-set Tasks
  • FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction
  • Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies
  • Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation

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