Grasp Planning with CNN for Log-loading Forestry Machine-Reference-Cited by-同舟云学术

Grasp Planning with CNN for Log-loading Forestry Machine

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Ayoub Elie¹,Levesque Patrick²,Sharf Inna¹

Affiliation:

1. McGill University,Department of Mechanical Engineering,Montreal,QC,Canada,H3A 2K7

2. Software Developer with Software Electronic Applications, FPInnovations,Pointe-Claire,QC,Canada,H9R 3J9

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161562.pdf?arnumber=10161562

Reference32 articles.

1. Edge-Dependent Efficient Grasp Rectangle Search in Robotic Grasp Detection

2. A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping

3. A two-stream cnn with simultaneous detection and segmentation for robotic grasping;yu;IEEE Transactions on Systems Man and Cybernetics Systems,2020

4. Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network

5. Automatic grasp planning using shape primitives

Cited by 4 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. Optimal sway motion reduction in forestry cranes;Frontiers in Robotics and AI;2024-08-15

2. Log Loading Automation for Timber-Harvesting Industry;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Real-time target point identification and automated log grasping by a forwarder, using a single stereo camera for both object detection and boom-tip control;Silva Fennica;2024

4. Multi-Log Grasping Using Reinforcement Learning and Virtual Visual Servoing;Robotics;2023-12-21