Learning robot grasping from 3-D images with Markov Random Fields-Reference-Cited by-同舟云学术

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Learning robot grasping from 3-D images with Markov Random Fields

Published:2011-09 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Author:

Boularias Abdeslam,Kroemer Oliver,Peters Jan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6034548/6094399/06094888.pdf?arnumber=6094888

Cited by 13 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

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2. Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

3. Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter;2022 International Conference on Robotics and Automation (ICRA);2022-05-23

4. Neural Fields in Visual Computing and Beyond;Computer Graphics Forum;2022-05

5. Research on Recognition Algorithm of Scattered Rivets Based on Feature in Robot Automatic Nail Feeding System;Intelligent Robotics and Applications;2021

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