Workspace Modeling and Trajectory Mapping for Robotic Execution using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Workspace Modeling and Trajectory Mapping for Robotic Execution using Artificial Neural Networks

Published:2023-12-11 Issue: Volume:2 Page:674-679
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Jha Abhishek¹,Poorani Ayswariya P S²,Bhattacharjee Neelanjan³

Affiliation:

1. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Department of Mechanical Engineering,Chennai,India

2. Amrita School of Engineering, AmritaVishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India

3. University of Alberta,Department of Mechanical Engineering,Edmonton,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10404625.pdf?arnumber=10404625

Reference20 articles.

1. Recent progress on programming methods for industrial robots

2. A survey of robot learning from demonstration

3. Human–Robot Collaboration in Manufacturing Applications: A Review

4. Methods for Expressing Robot Intent for Human–Robot Collaboration in Shared Workspaces

5. Workspace analysis for planning human-robot interaction tasks

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