Grasp Approach Under Positional Uncertainty Using Compliant Tactile Sensing Modules and Reinforcement Learning-Reference-Cited by-同舟云学术

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Grasp Approach Under Positional Uncertainty Using Compliant Tactile Sensing Modules and Reinforcement Learning

Published:2024-08-06 Issue: Volume:1 Page:424-428
ISSN:
Container-title:2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Galaiya Viral Rasik¹,De Oliveira Thiago Eustaquio Alves²,Jiang Xianta³,Da Fonseca Vinicius Prado¹

Affiliation:

1. Memorial University of Newfoundland and Labrador,Robotics and AI Lab,Department of Computer Science,St. John’s,Canada

2. Lakehead University,Haptics and Robots Research Group,Department of Computer Science,Thunder Bay,Canada

3. Memorial University of Newfoundland and Labrador,Ubiquitous Computing and Machine Learning Lab,Department of Computer Science,St. John’s,Canada

Funder

Memorial University of Newfoundland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667055/10667056/10667271.pdf?arnumber=10667271

Reference22 articles.

1. Toward robotic manipulation;Mason,2018

2. Camera Calibration Error Modeling and Its Impact on Visual Positioning

3. On Evaluation of 6D Object Pose Estimation

4. Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping

5. Exploring Tactile Temporal Features for Object Pose Estimation during Robotic Manipulation

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