AGILE: Approach-based Grasp Inference Learned from Element Decomposition-Reference-Cited by-同舟云学术

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AGILE: Approach-based Grasp Inference Learned from Element Decomposition

Published:2023-12-19 Issue: Volume: Page:661-668
ISSN:
Container-title:2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM)
language:
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Author:

Koosheshi MohammadHossein¹,Hosseini Hamed²,Masouleh Mehdi Tale²,Kalhor Ahmad²,Yazdi Mohammad Reza Hairi³

Affiliation:

1. University of Tehran,Human and Robot Interaction Laboratory School of Mechanical Engineering

2. University of Tehran,Human and Robot Interaction Laboratory School of Electrical and Computer Engineering

3. University of Tehran,School of Mechanical Engineering College of Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10412246/10412347/10412429.pdf?arnumber=10412429

Reference30 articles.

1. Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots

2. Exploiting Kinematic Redundancy for Robotic Grasping of Multiple Objects

3. Hybrid Robotic Grasping With a Soft Multimodal Gripper and a Deep Multistage Learning Scheme

4. Robotic grasp detection based on image processing and random forest

5. Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations

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. HUGGA: Human-like Grasp Generation with Gripper’s Approach State Using Deep Learning;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19

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