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ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making

Submitted to CVPR 2026

This paper is about ManiTaskGen, a universal system that generates a comprehensive set of feasible mobile manipulation tasks given arbitrary scenes. These tasks facilitate both benchmarking and the improvement of embodied decision-making agents.

Recommended citation: Liu Dai* ,Haina Wang*, Weikang Wan, and Hao Su. (2025). "ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making." arXiv preprint arXiv:2505.20726.
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Quantitive Investment

Undergraduate Teaching Assistant(UTA), Zhejiang University, School of Economics and Management, 2022

Basic Information

  • Institution: Zhejiang University, School of Economics and Management
  • Semester: Fall 2022
  • Professor: Prof. Tao Zeng