19 citations · 28 across the 5 of their papers we have counts for
Showing 2019Show all
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cs.RO2019
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam +2
Deep learning has enabled remarkable improvements in grasp synthesis for previously unseen objects from partial object views. However, existing approaches lack the ability to expli…
cs.RO2019★ 1 cited
Modeling Grasp Type Improves Learning-Based Grasp Planning
Qingkai Lu, Tucker Hermans
Different manipulation tasks require different types of grasps. For example, holding a heavy tool like a hammer requires a multi-fingered power grasp offering stability, while hold…