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Comprehensive Review on Reaching and Grasping of Objects in Robotics

Published online by Cambridge University Press:  05 February 2021

Qaid Mohammed Marwan Open the ORCID record for Qaid Mohammed Marwan [Opens in a new window] ,
Shing Chyi Chua  and
Lee Chung Kwek
Qaid Mohammed Marwan*
Affiliation:
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75470Melaka, Malaysia E-mails: [email protected], [email protected]
Shing Chyi Chua
Affiliation:
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75470Melaka, Malaysia E-mails: [email protected], [email protected]
Lee Chung Kwek
Affiliation:
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75470Melaka, Malaysia E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

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Interaction between a robot and its environment requires perception about the environment, which helps the robot in making a clear decision about the object type and its location. After that, the end effector will be brought to the object’s location for grasping. There are many research studies on the reaching and grasping of objects using different techniques and mechanisms for increasing accuracy and robustness during grasping and reaching tasks. Thus, this paper presents an extensive review of research directions and topics of different approaches such as sensing, learning and gripping, which have been implemented within the current five years.

Keywords

CognitionPerceptionReaching and grasping taskVisual servoingSensing approachLearning approachGripping approach
Type
Article
Information
Robotica , Volume 39 , Issue 10 , October 2021 , pp. 1849 - 1882
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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