4 papers
Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics
Tianyi Ko, Takuya Ikeda, Balazs Opra +1
Grasp detection methods typically target the detection of a set of free-floating hand poses that can grasp the object. However, not all of the detected grasp poses are executable d…
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
Tianyi Ko, Takuya Ikeda, Hiroya Sato +1
Planar-symmetric hands, such as parallel grippers, are widely adopted in both research and industrial fields. Their symmetry, however, introduces ambiguity and discontinuity in the…
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
Takuya Ikeda, Sergey Zakharov, Tianyi Ko +5
This paper addresses the challenging problem of category-level pose estimation. Current state-of-the-art methods for this task face challenges when dealing with symmetric objects a…
Gravity-aware Grasp Generation with Implicit Grasp Mode Selection for Underactuated Hands
Tianyi Ko, Takuya Ikeda, Thomas Stewart +2
Learning-based grasp detectors typically assume a precision grasp, where each finger only has one contact point, and estimate the grasp probability. In this work, we propose a data…