AI RESEARCH

HeteroGenManip: Generalizable Manipulation For Heterogeneous Object Interactions

arXiv CS.AI

ArXi:2605.10201v1 Announce Type: cross Generalizable manipulation involving cross-type object interactions is a critical yet challenging capability in robotics. To reliably accomplish such tasks, robots must address two fundamental challenges: ``where to manipulate'' (contact point localization) and ``how to manipulate'' (subsequent interaction trajectory planning). Existing foundation-model-based approaches often adopt end-to-end learning that obscures the distinction between these stages, exacerbating error accumulation in long-horizon tasks.