Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance
Field, SE(3) Equivariance and Riemannian Mixture Models

Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models

5 November 2023

Nadia Figueroa

Papers citing "Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models"

5 / 5 papers shown

Title
Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics Tianyi Ko Takuya Ikeda Koichi Nishiwaki 40 0 0 28 Apr 2025
An Extended Symbolic-Arithmetic Model for Teaching Double-Black Removal with Rotation in Red-Black Trees Kennedy E. Ehimwenma Hongyu Zhou J. T. Wang Ze Zheng 33 0 0 04 Apr 2025
Grasping by Hanging: a Learning-Free Grasping Detection Method for Previously Unseen Objects Wanze Li Wan Su Gregory S. Chirikjian 32 0 0 13 Aug 2024
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 55 118 0 08 Sep 2022
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 316 0 25 Apr 2021