Object and relation centric representations for push effect prediction-Reference-Cited by-同舟云学术

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Object and relation centric representations for push effect prediction

Published:2024-04 Issue: Volume:174 Page:104632
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Tekden Ahmet E.^ORCID,Erdem Aykut^ORCID,Erdem Erkut,Asfour Tamim^ORCID,Ugur Emre^ORCID

Publisher

Elsevier BV

Reference80 articles.

1. Nonprehensile dynamic manipulation: A survey;Ruggiero;IEEE Robot. Autom. Lett.,2018

2. Let’s push things forward: A survey on robot pushing;Stüber;Front. Robot. AI,2020

3. Feature-based transfer learning for robotic push manipulation;Stüber,2018

4. Push-grasping with dexterous hands: Mechanics and a method;Dogar,2010

5. J.E. King, M. Klingensmith, C.M. Dellin, M.R. Dogar, P. Velagapudi, N.S. Pollard, S.S. Srinivasa, Pregrasp Manipulation as Trajectory Optimization, in: Robotics: Science and Systems, Berlin, 2013.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GSC: A graph-based skill composition framework for robot learning;Robotics and Autonomous Systems;2024-12

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