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cs.RO2026

Grounding Generative Policies in Physics: Optimization-Guided Diffusion for Robot Control

Sabrina Bodmer, René Zurbrügg, Tifanny Portela +5

Diffusion models sample effectively from high-dimensional, multimodal distributions, but their outputs may violate deployment constraints. For task-space robot policies, generated…

cs.RO2026

EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies

Ning Gao, Jinliang Zheng, Xing Gao +22

We present EBench, a simulation benchmark that diagnoses generalist mobile manipulation policies beyond a single success-rate scalar. EBench comprises 26 diverse and challenging ma…

cs.RO2026

GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion

Enda Xiang, Haoxiang Ma, Xinzhu Ma +2

This paper focuses on enhancing the grasping precision and generalization of manipulation policies learned via imitation learning. Diffusion-based policy learning methods have rece…

cs.RO2024

Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge

Haoxiang Ma, Modi Shi, Boyang Gao +1

We focus on the generalization ability of the 6-DoF grasp detection method in this paper. While learning-based grasp detection methods can predict grasp poses for unseen objects us…

cs.RO2024

Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation

Haoxiang Ma, Ran Qin, Modi shi +2

This paper focuses on the sim-to-real issue of RGB-D grasp detection and formulates it as a domain adaptation problem. In this case, we present a global-to-local method to address…