1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2024
Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation
Haoxiang Ma, Ran Qin, Modi shi +2
This paper focuses on the sim-to-real issue of RGB-D grasp detection and formulates it as a domain adaptation problem. In this case, we present a global-to-local method to address…
cs.RO2023★ 1 cited
RGB-D Grasp Detection via Depth Guided Learning with Cross-modal Attention
Ran Qin, Haoxiang Ma, Boyang Gao +1
Planar grasp detection is one of the most fundamental tasks to robotic manipulation, and the recent progress of consumer-grade RGB-D sensors enables delivering more comprehensive f…