AI RESEARCH
RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data
arXiv CS.CV
•
ArXi:2605.13775v1 Announce Type: cross The scalability of robotic manipulation is fundamentally bottlenecked by the scarcity of task-aligned physical interaction data. While vision-language models (VLMs) and video generation models (VGMs) hold promise for autonomous data synthesis, they suffer from semantic-spatial misalignment and physical hallucinations, respectively. To bridge this gap, we