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ManipVQA · SiyuanHuang95

Research code for injecting robotic affordances into multimodal language models.

llmllm-roboticsrobotics
Publisher repository ↗
ManipVQA · SiyuanHuang95 resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Research code for injecting robotic affordances into multimodal language models.

Publisher summary: “[IROS24 Oral]ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
SiyuanHuang95
Primary language
Python
Repository code license
Not specified
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2024-08-22

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models
  • An overview of ManipVQA
  • News
  • How to use
  • Dataset Creation
  • Finetuning

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