Efficient and Interpretable Robot Manipulation with Graph Neural
Networks

Efficient and Interpretable Robot Manipulation with Graph Neural Networks

25 February 2021

Eric Undersander

Papers citing "Efficient and Interpretable Robot Manipulation with Graph Neural Networks"

15 / 15 papers shown

Title
Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models Guanqun Cao Ryan Mckenna Erich Graf John Oyekan LM&Ro 127 0 0 30 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 99 0 0 22 Jan 2025
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 31 1 0 21 Oct 2024
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Yixuan Huang Nichols Crawford Taylor Adam Conkey Weiyu Liu Tucker Hermans 36 7 0 18 May 2023
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning Matan Atad Jianxiang Feng Ismael Rodríguez M. Durner Rudolph Triebel 22 8 0 17 Mar 2023
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics Ivan Kapelyukh Vitalis Vosylius Edward Johns LM&Ro DiffM 110 145 0 05 Oct 2022
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers Yixuan Huang Adam Conkey Tucker Hermans 17 26 0 24 Sep 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 21 1 0 22 Jul 2022
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation Joanne Truong M. Rudolph Naoki Yokoyama Sonia Chernova Dhruv Batra Akshara Rai 29 40 0 21 Jul 2022
Transformers are Adaptable Task Planners Vidhi Jain Yixin Lin Eric Undersander Yonatan Bisk Akshara Rai 25 24 0 06 Jul 2022
Assembly Planning from Observations under Physical Constraints Thomas Chabal Robin Strudel Etienne Arlaud Jean Ponce Cordelia Schmid 22 4 0 20 Apr 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 20 22 0 10 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery Niklas Funk Svenja Menzenbach Georgia Chalvatzaki Jan Peters 26 13 0 08 Mar 2022
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 175 495 0 08 Apr 2018