This work introduces MiGA, a multi-gripper-aware dataset spanning five distinct gripper types across multiple robots with 103,000 demonstrations, and proposes GVLA, which combines a new multi-gripper tokenizer with adapter-based policy routing that improves zero-shot generalization or few-shot adaptation to new objects...
Hanyi Zhang, Zihong Luo, Tianyu Li et al.· 1 citation
CadKnitter is able to generate a complementary CAD part that follows both the geometric constraints of the given CAD model and the semantic constraints of the desired design text prompt, which outperforms other state-of-the-art baselines by a clear margin.
Tri Le, Khang Nguyen, Bao-Ru Huang et al.· arXiv.org· 2 citations
GCA-Bench is proposed, a benchmark featuring challenging grasping with complex action scenarios that involve both scene-level reasoning and semantic constraints and enables the evaluation of recent large foundation models under the same settings.