mlsanityData to 14 Oct 2026

HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks

arXiv 2308.12537 ↗First posted 24 Aug 2023cs.RO cs.CVcited by 6

On the map: Multimodal LLMs / vision-language models → Embodied and 3D vision-language models

Abstract (arXiv)

Human robot interaction is an exciting task, which aimed to guide robots following instructions from human. Since huge gap lies between human natural language and machine codes, end to end human robot interaction models is fair challenging. Further, visual information receiving from sensors of robot is also a hard language for robot to perceive. In this work, HuBo-VLM is proposed to tackle perception tasks associated with human robot interaction including object detection and visual grounding by a unified transformer based vision language model. Extensive experiments on the Talk2Car benchmark demonstrate the effectiveness of our approach. Code would be publicly available in https://github.com/dzcgaara/HuBo-VLM.

Key facts. Cited by 6 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 32 of its 41 references that are in the map. First posted on arXiv 24 Aug 2023.

Builds on

32 of 41 references.

References · 32

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20 more
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Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 3; 2025: 2.

6 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model
  2. 2025Agreeing to Interact in Human-Robot Interaction using Large Language Models and Vision Language Models
  3. 2024A3VLM: Actionable Articulation-Aware Vision Language Model
  4. 2025Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
  5. 2026The World According to a Social Robot -- Augmenting Human-Robot Dialogue With Vision Language Models
  6. 2026Monocular 3D Object Position Estimation with VLMs for Human-Robot Interaction
  7. 2024TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models
  8. 2025ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation