Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning

2 October 2021

Papers citing "Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning"

8 / 8 papers shown

Title
Neural Configuration-Space Barriers for Manipulation Planning and Control Kehan Long Ki Myung Brian Lee Nikola Raicevic Niyas Attasseri Melvin Leok Nikolay A. Atanasov 67 0 0 06 Mar 2025
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering Jiaxu Wang Jingkai Sun Junhao He Ziyi Zhang Qiang Zhang Mingyuan Sun Renjing Xu AI4CE 23 0 0 11 Oct 2024
ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation Wen Yang Wanxin Jin 40 3 0 18 Aug 2024
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields V. Vasilopoulos Suveer Garg Jinwook Huh Bhoram Lee Volkan Isler 16 4 0 14 Oct 2023
Neural Grasp Distance Fields for Robot Manipulation Thomas Weng David Held Franziska Meier Mustafa Mukadam 6 45 0 04 Nov 2022
PRIF: Primary Ray-based Implicit Function Brandon Yushan Feng Yinda Zhang Danhang Tang Ruofei Du Amitabh Varshney 8 23 0 12 Aug 2022
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands Ninad Khargonkar Neil Song Zesheng Xu Balakrishnan Prabhakaran Yu Xiang DRL 6 18 0 06 Jul 2022
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 214 509 0 19 Mar 2020