Julien Merand

Object-agnostic grasp planning achieves 86.93% success on diverse objects without the need for object-specific training data.

Achieving zero-shot generalization for dexterous grasp synthesis, CoToGrasp outperforms traditional methods by leveraging contact topology without requiring annotated datasets.