2020
Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment
IROS 2020poster
Humans learn about object properties using multiple modes of perception. Recent advances show that robots can use non-visual sensory modalities (i.e., haptic and tactile sensory data) coupled with exploratory behaviors (i.e., grasping, lifting, pushing, dropping, etc.) for learning objects' properti…