Potential-Guided Particle Steering for Negation-Constrained Dexterous Grasping
技术动态
来源：arXiv cs.RO发布时间待核实
arXiv:2609.00555v1 Announce Type: new Abstract: Language-driven dexterous grasp models, such as DextER, perform well when instructions specify where to grasp, but we find they fail systematically when an instruction also specifies where not to grasp (e.g., "grasp the handle but avoid the body"). Existing training corpora, DexGYSNet among them, contain virtually no avoidance instructions, and collecting examples for every possible constraint is impractical.