5 papers
SARL: Spatially-Aware Self-Supervised Representation Learning for Visuo-Tactile Perception
Gurmeher Khurana, Lan Wei, Dandan Zhang
Contact-rich robotic manipulation requires representations that encode local geometry. Vision provides global context but lacks direct measurements of properties such as texture an…
Physics-Informed Machine Learning for Efficient Sim-to-Real Data Augmentation in Micro-Object Pose Estimation
Zongcai Tan, Lan Wei, Dandan Zhang
Precise pose estimation of optical microrobots is essential for enabling high-precision object tracking and autonomous biological studies. However, current methods rely heavily on…
Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation
Lan Wei, Lou Genoud, Dandan Zhang
Optical microrobots actuated by optical tweezers (OT) offer great potential for biomedical applications such as cell manipulation and microscale assembly. These tasks demand accura…
A Dataset and Benchmarks for Deep Learning-Based Optical Microrobot Pose and Depth Perception
Lan Wei, Dandan Zhang
Optical microrobots, manipulated via optical tweezers (OT), have broad applications in biomedicine. However, reliable pose and depth perception remain fundamental challenges due to…
Coarse-to-Fine Learning for Multi-Pipette Localisation in Robot-Assisted In Vivo Patch-Clamp
Lan Wei, Gema Vera Gonzalez, Phatsimo Kgwarae +4
In vivo image-guided multi-pipette patch-clamp is essential for studying cellular interactions and network dynamics in neuroscience. However, current procedures mainly rely on manu…