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

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"

18 / 18 papers shown

Title
Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space Weichen Zhan Zile Zhou Zhiheng Zheng Chen Gao Jinqiang Cui Yong Li Xinlei Chen Xiao-Ping Zhang LRM 63 1 0 14 Mar 2025
Neural Configuration-Space Barriers for Manipulation Planning and Control Kehan Long Ki Myung Brian Lee Nikola Raicevic Niyas Attasseri Melvin Leok Nikolay Atanasov 74 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 32 0 0 11 Oct 2024
ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation Wen Yang Wanxin Jin 50 3 0 18 Aug 2024
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields V. Vasilopoulos Suveer Garg Jinwook Huh Bhoram Lee Volkan Isler 27 4 0 14 Oct 2023
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty Carlos Quintero-Peña Wil Thomason Bo Xiong Anastasios Kyrillidis Lydia E. Kavraki 18 7 0 28 Sep 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 33 17 0 22 Jun 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 61 8 0 22 Apr 2023
Accurate Gaussian-Process-based Distance Fields with applications to Echolocation and Mapping Cedric Le Gentil Othmane-Latif Ouabi Lan Wu C´edric Pradalier Teresa Vidal-Calleja 24 17 0 25 Feb 2023
Rejecting Cognitivism: Computational Phenomenology for Deep Learning P. Beckmann G. Köstner Ines Hipólito 34 4 0 16 Feb 2023
Neural Grasp Distance Fields for Robot Manipulation Thomas Weng David Held Franziska Meier Mustafa Mukadam 13 45 0 04 Nov 2022
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control Z-H. Tang Balakumar Sundaralingam Jonathan Tremblay Bowen Wen Ye Yuan Stephen Tyree Charles T. Loop A. Schwing Stan Birchfield 40 10 0 21 Oct 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 58 121 0 08 Sep 2022
PRIF: Primary Ray-based Implicit Function Brandon Yushan Feng Yinda Zhang Danhang Tang Ruofei Du Amitabh Varshney 14 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 21 18 0 06 Jul 2022
Learning Linear Complementarity Systems Wanxin Jin Alp Aydinoglu Mathew Halm Michael Posa 19 16 0 25 Dec 2021
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input Jung-Su Ha Danny Driess Marc Toussaint 27 12 0 09 Dec 2021
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 Mar 2020