3 papers
cs.RO2026
RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic Manipulation
Chuanrui Zhang, Zhengxian Wu, Guanxing Lu +2
Learned world models hold significant potential as neural simulators for robotic manipulation. However, prevalent 2D video-based models inherently lack the spatial and kinematic re…
cs.RO2026
RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation
Yuquan Xue, Guanxing Lu, Zhenyu Wu +4
Vision-Language-Action (VLA) models have shown strong manipulation capability when trained with large-scale imitation learning datasets. However, these datasets that predominantly…
cs.CV2026
SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM
Chuanrui Zhang, Minghan Qin, Yuang Wang +3
High-quality articulated 3D assets are indispensable for embodied AI and physical simulation, yet 3D generation still focuses on static meshes, leaving a gap in "sim-ready" interac…