Optimization Beyond the Convolution: Generalizing Spatial Relations with
End-to-End Metric Learning

Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning

4 July 2017

Wolfram Burgard

Papers citing "Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning"

10 / 10 papers shown

Title
Automatic and Efficient Customization of Neural Networks for ML Applications Yuhan Liu Chengcheng Wan Kuntai Du Henry Hoffmann Junchen Jiang Shan Lu Michael Maire 35 0 0 07 Oct 2023
A Reinforcement Learning Approach for Robotic Unloading from Visual Observations Vittorio Giammarino A. Giammarino Matthew Pearce OffRL SSL 33 2 0 12 Sep 2023
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario Vittorio Giammarino Andrew J Meyer Kai Biegun OffRL 27 0 0 25 Sep 2022
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics Mohan Sridharan Tiago Mota 14 1 0 25 Jan 2022
Relational Learning for Skill Preconditions Mohit Sharma Oliver Kroemer SSL 19 18 0 03 Dec 2020
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction Andreas Eitel Nico Hauff Wolfram Burgard 27 24 0 19 May 2020
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations Oier Mees Alp Emek Johan Vertens Wolfram Burgard 22 26 0 23 Jan 2020
Where is My Stuff? An Interactive System for Spatial Relations E. A. Sisbot J. Connell 6 3 0 13 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies Hongmin Wu Shuangqi Luo Longxin Chen Shuangda Duan Sakmongkon Chumkamon Dong Liu Y. Guan Juan Rojas 11 11 0 11 Sep 2018