activity
20232026
collaborators
Showing 2026Show all

5 papers · 1 filter

cs.RO2026

Skel-WAM: A Hand-Skeleton-Conditioned World Action Model for Human-to-Robot Manipulation Transfer

Zetao Cai, Yaping Li, Yiqun Wang +8

Robot demonstrations are expensive to collect and often provide limited distributional coverage of task variations. Human videos offer a low-cost source of complementary manipulati…

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.CV2026

EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis

Xiefan Guo, Xinzhu Ma, Haoxiang Ma +2

Text-to-image diffusion models have achieved remarkable fidelity in synthesizing images from explicit text prompts, yet exhibit a critical deficiency in processing implicit prompts…

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…