Adaptive Diffusion Constrained Sampling for Bimanual Robot Manipulation

19 May 2025

Papers citing "Adaptive Diffusion Constrained Sampling for Bimanual Robot Manipulation"

21 / 21 papers shown

Title
Equality Constrained Diffusion for Direct Trajectory Optimization Vince Kurtz Joel W. Burdick 78 3 0 02 Oct 2024
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling Marc Toussaint Cornelius V. Braun Joaquim Ortiz de Haro 20 4 0 03 Jul 2024
Model-Based Diffusion for Trajectory Optimization Chaoyi Pan Zeji Yi Guanya Shi Guannan Qu 61 10 0 28 May 2024
Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning Yuezhe Zhang Corrado Pezzato Elia Trevisan C. Salmi C. H. Corbato Javier Alonso-Mora 45 7 0 04 Dec 2023
Compositional Diffusion-Based Continuous Constraint Solvers Zhutian Yang Jiayuan Mao Yilun Du Jiajun Wu J. Tenenbaum Tomás Lozano-Pérez L. Kaelbling DiffM 89 34 0 02 Sep 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models João Carvalho An T. Le Mark Baierl Dorothea Koert Jan Peters DiffM 38 113 0 03 Aug 2023
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 92 124 0 08 Sep 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 118 510 0 03 Jun 2022
DiffLoop: Tuning PID controllers by differentiating through the feedback loop Athindran Ramesh Kumar Peter J. Ramadge 40 13 0 19 Jun 2021
AutoTune: Controller Tuning for High-Speed Flight Antonio Loquercio Alessandro Saviolo Davide Scaramuzza 43 37 0 19 Mar 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 279 17,550 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 132 1,135 0 16 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 218 42,038 0 03 Dec 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 82 3,654 0 16 Jan 2019
Fast MCMC sampling algorithms on polytopes Yuansi Chen Raaz Dwivedi Martin J. Wainwright Bin Yu 22 67 0 23 Oct 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam Jing Dong Xinyan Yan F. Dellaert Byron Boots GP 40 214 0 24 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 427 129,831 0 12 Jun 2017
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 102 1,603 0 27 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 61 1,082 0 16 Aug 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 68 1,008 0 31 May 2016
Automatic LQR Tuning Based on Gaussian Process Global Optimization A. Marco Philipp Hennig Jeannette Bohg S. Schaal Sebastian Trimpe 26 161 0 06 May 2016