Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Kumar K. Niranjan¹,Essa Irfan¹,Ha Sehoon¹

Affiliation:

1. Georgia Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811874.pdf?arnumber=9811874

Reference42 articles.

1. Scaled-YOLOv4: Scaling cross stage partial network;wang;ArXiv Preprint,2020

2. The YCB object and Model set: Towards common benchmarks for manipulation research

3. Object rear-rangement using learned implicit collision functions;danielczuk;ArXiv Preprint,2020

4. Transporter networks: Rearranging the visual world for robotic manipulation;zeng;ArXiv Preprint,2020

5. Rearrangement: A challenge for embodied ai;batra;ArXiv Preprint,2020

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3. Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Cascaded Compositional Residual Learning for Complex Interactive Behaviors;IEEE Robotics and Automation Letters;2023-08

5. Active Perception System for Enhanced Visual Signal Recovery Using Deep Reinforcement Learning;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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