RA-L 20254 citations

M${}{3}$Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes

Zeyu Zhang, Sixu Yan, Muzhi Han, Zaijin Wang, Xinggang Wang, Song-Chun Zhu, Hangxin Liu

Abstract

We propose M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> Bench, a new benchmark for whole-body motion generation in mobile manipulation tasks. Given a 3D scene context, M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> Bench requires an embodied agent to reason about its configuration, environmental constraints, and task objectives to generate coordinated whole-body motion trajectories for object rearrangement. M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> Bench features 30,000 object rearrangement tasks across 119 diverse scenes, providing expert demonstrations generated by our newly developed M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> BenchMaker, an automatic data generation tool that produces whole-body motion trajectories from high-level task instructions using only basic scene and robot information. Our benchmark includes various task splits to evaluate generalization across different dimensions and leverages realistic physics simulation for trajectory assessment. Extensive evaluation analysis reveals that state-of-the-art models struggle with coordinating base-arm motion while adhering to environmental and task-specific constraints, underscoring the need for new models to bridge this gap. By releasing M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> Bench and M <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{3}$</tex-math></inline-formula> BenchMaker at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://zeyuzhang.com/papers/m3bench</uri> , we aim to advance robotics research toward more adaptive and capable mobile manipulation in diverse, real-world environments.

BibTeX
@inproceedings{ral2025_m3benchbenchmark,
  title = {M${}{3}$Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes},
  author = {Zeyu Zhang and Sixu Yan and Muzhi Han and Zaijin Wang and Xinggang Wang and Song-Chun Zhu and Hangxin Liu},
  booktitle = {RA-L 2025},
  year = {2025}
}
M${}{3}$Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes · RA-L 2025