Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment
Gyan Tatiya,Yash Shukla,Michael Edegware,Jivko Sinapov,Gyan Tatiya,Yash Shukla,Michael Edegware,Jivko Sinapov
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' properties such as shape, weight, material and affordances. However, non-visual sensory representations cann...
