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Mengchen Ma

M.S. student in Robotics Engineering at Southeast University, working on Embodied AI and Reinforcement Learning.

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Exploratory, Communicative, and Deployable: Vision-Driven Embodied Agents for Open-World Mobile Manipulation

Published in European Conference on Computer Vision (ECCV), 2026

A sim-to-real-consistent framework for interactive open-world mobile manipulation, where agents explore from raw RGB observations and resolve ambiguous instructions by communicating with the user.

Recommended citation: Boyu Mi*, Mengchen Ma*, Yifei Yao*, Xing Gao, Junting Chen, Yangzi Li, Zihou Zhu, Guohao Li, Zhenfei Yin, Tai Wang, Yao Mu, Jiangmiao Pang, Hanqing Wang. (2026). "Exploratory, Communicative, and Deployable: Vision-Driven Embodied Agents for Open-World Mobile Manipulation." ECCV 2026. (* Equal contribution)
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InstructMove: A Text-Indispensable Benchmark for Instruction-Following Manipulation

Published in Technical Report, 2026

A text-indispensable benchmark for instruction-following manipulation, where multiple actions are visually and physically plausible but only one matches the language instruction.

Recommended citation: Mengao Zhao*, Ziang Li*, Chaodong Huang*, Mengchen Ma*, Haoyi Jiang, Yiwei Jin, Xinjie Wang, Yun Du, Xuewu Lin, Taojun Ding, Hongyu Xie, Jackson Jiang, Chunlei Yu, Kaihua Zhang, Lichao Huang, Liu Liu, Tianwei Lin, Zhizhong Su. (2026). "InstructMove: A Text-Indispensable Benchmark for Instruction-Following Manipulation." Technical Report, arXiv:2608.22990. (* Equal contribution)
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.