1 citations · 1 across the 3 of their papers we have counts for
5 papers
ArtiWorld: LLM-Driven Articulation of 3D Objects in Scenes
Yixuan Yang, Luyang Xie, Zhen Luo +4
Building interactive simulators and scalable robot-learning environments requires a large number of articulated assets. However, most existing 3D assets in simulation are rigid, an…
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
Jinkun Hao, Naifu Liang, Zhen Luo +8
The ability of robots to interpret human instructions and execute manipulation tasks necessitates the availability of task-relevant tabletop scenes for training. However, tradition…
OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
Yixuan Yang, Zhen Luo, Tongsheng Ding +5
Automatic indoor layout generation has attracted increasing attention due to its potential in interior design, virtual environment construction, and embodied AI. Existing methods f…
RoboReflect: A Robotic Reflective Reasoning Framework for Grasping Ambiguous-Condition Objects
Zhen Luo, Yixuan Yang, Yanfu Zhang +1
As robotic technology rapidly develops, robots are being employed in an increasing number of fields. However, due to the complexity of deployment environments or the prevalence of…
InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction
Pengzhen Ren, Min Li, Zhen Luo +15
Realizing scaling laws in embodied AI has become a focus. However, previous work has been scattered across diverse simulation platforms, with assets and models lacking unified inte…