15 citations · 28 across the 5 of their papers we have counts for
8 papers
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection
Avinash Ummadisingu, Kuniyuki Takahashi, Naoki Fukaya
The food packaging industry handles an immense variety of food products with wide-ranging shapes and sizes, even within one kind of food. Menus are also diverse and change frequent…
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping
Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu
Food packing industries typically use seasonal ingredients with immense variety that factory workers manually pack. For small pieces of food picked by volume or weight that tend to…
Collision-free Path Planning in the Latent Space through cGANs
Tomoki Ando, Hiroki Mori, Ryota Torishima +4
We show a new method for collision-free path planning by cGANs by mapping its latent space to only the collision-free areas of the robot joint space. Our method simply provides thi…
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu +1
Food packing industry workers typically pick a target amount of food by hand from a food tray and place them in containers. Since menus are diverse and change frequently, robots mu…
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
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…
Invisible Marker: Automatic Annotation of Segmentation Masks for Object Manipulation
Kuniyuki Takahashi, Kenta Yonekura
We propose a method to annotate segmentation masks accurately and automatically using invisible marker for object manipulation. Invisible marker is invisible under visible (regular…