Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
Tomoki Anzai,Kuniyuki Takahashi,Tomoki Anzai,Kuniyuki Takahashi
For in-hand manipulation, estimation of the object pose inside the hand is one of the important functions to manipulate objects to the target pose. Since in-hand manipulation tends to cause occlusions by the hand or the object itself, image information only is not sufficient for in-hand object pose estimation. Multiple modalities can be used in this case, the advantage is that other modalities can...
