ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making
ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making
This paper introduces ManiTaskGen, a novel system that automatically generates comprehensive and diverse mobile manipulation tasks for any given scene.
The authors present ManiTaskGen, a system for automatically generating diverse mobile manipulation tasks in both simulated and real-world scenes to benchmark and improve vision-language agents.
Source: arXiv Robotics — research abstracts · Read original article ↗
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ision-making through a grounded skill interface for agents built upon existing vision-language models (VLMs). Furthermore, we propose a simple yet effective method that utilizes ManiTaskGen tasks to enhance embodied decision-making. Overall, this work presents a cross-scene task generation framework facilitating both benchmarking and improvement of embodied decision-making agents. Our code is available at https://man
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Source：arXiv Robotics — research abstracts · arxiv.org