2024
Weakly-Supervised Depth Completion during Robotic Micromanipulation from a Monocular Microscopic Image
ICRA 2024poster
Obtaining three-dimensional information, especially the z-axis depth information, is crucial for robotic micromanipulation. Due to the unavailability of depth sensors such as lidars in micromanipulation setups, traditional depth acquisition methods such as depth from focus or depth from defocus dire…