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Zaijin Wang

3 accepted papers

2026

M3Bench: Benchmarking Whole-Body Motion Generation for Mobile Manipulation in 3D Scenes

ICRA 2026poster

We propose M3Bench, a new benchmark for whole-body motion generation in mobile manipulation tasks. Given a 3D scene context, M3Bench requires an embodied agent to reason about its configuration, environmental constraints, and task objectives to generate coordinated whole-body motion trajectories for…

2025

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

RA-L 2025

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 <in

Cited by 4SourceScholar
2023

Part-level Scene Reconstruction Affords Robot Interaction

IROS 2023poster

Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significant discrepancies between the reconstructed and observed scenes. To address this issue, our work introduces a part-level r…

Cited by 9SourceScholar