Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances

19 September 2023

Papers citing "Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances"

8 / 8 papers shown

Title
Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs Yanying Zhou Jochen Garcke GNN 40 3 0 11 Jan 2024
Grounding Language with Visual Affordances over Unstructured Data Oier Mees Jessica Borja-Diaz Wolfram Burgard LM&Ro 121 108 0 04 Oct 2022
End-to-End Affordance Learning for Robotic Manipulation Yiran Geng Boshi An Haoran Geng Yuanpei Chen Yaodong Yang Hao Dong 63 59 0 26 Sep 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 109 85 0 24 Feb 2022
Learning to Regrasp by Learning to Place Shuo Cheng Kaichun Mo Lin Shao 71 20 0 18 Sep 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 97 44 0 25 Feb 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,400 0 01 Dec 2016