Passive Sensing Jaw for Grasping and Orienting

1
Alessandro Luchetti
Alessandro Luchetti
2
Mariolino De Cecco
Mariolino De Cecco
3
Matteo Perotto
Matteo Perotto
4
Paolo Bosetti
Paolo Bosetti
5
Daniele Fontanelli
Daniele Fontanelli
6
Luigi Palopoli
Luigi Palopoli
7
Fabiano Zenatti
Fabiano Zenatti
8
Matteo Zanetti
Matteo Zanetti
9
Luca Maule
Luca Maule
10
Mattia Tavernini
Mattia Tavernini
1 University of Trento

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The goal of this work is to present an innovative design for a smart robotic gripper, which is able to grasp different randomly deployed prismatic and cylindrical packages and orient them through a mechanically passive alignment system with sensing capability. It consists in a new concept of end-effector combined with an ad-hoc path planning for aligning residual worst cases. The system uses gravity and an angular sensor embedded into the gripper to detect the object orientation and, if necessary, formulate a control strategy to align it before the release phase. An initial screening experiment was executed to find the parameters that most influence the alignment angle and execution time. Two worst-case pack ages were tested in different working conditions. The results show that the percentage of success of the system is high even in the worst operating conditions.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Alessandro Luchetti. 2026. \u201cPassive Sensing Jaw for Grasping and Orienting\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 22 (GJRE Volume 22 Issue A2): .

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Passive sensing law for grasping and orienting robotic systems.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-A Classification: FOR Code: 091399
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v1.2

Issue date

August 30, 2022

Language

English

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The goal of this work is to present an innovative design for a smart robotic gripper, which is able to grasp different randomly deployed prismatic and cylindrical packages and orient them through a mechanically passive alignment system with sensing capability. It consists in a new concept of end-effector combined with an ad-hoc path planning for aligning residual worst cases. The system uses gravity and an angular sensor embedded into the gripper to detect the object orientation and, if necessary, formulate a control strategy to align it before the release phase. An initial screening experiment was executed to find the parameters that most influence the alignment angle and execution time. Two worst-case pack ages were tested in different working conditions. The results show that the percentage of success of the system is high even in the worst operating conditions.

The goal of this work is to present an innovative design for a smart robotic gripper, which is able to grasp different randomly deployed prismatic and cylindrical packages and orient them through a mechanically passive alignment system with sensing capability. It consists in a new concept of end-effector combined with an ad-hoc path planning for aligning residual worst cases. The system uses gravity and an angular sensor embedded into the gripper to detect the object orientation and, if necessary, formulate a control strategy to align it before the release phase. An initial screening experiment was executed to find the parameters that most influence the alignment angle and execution time. Two worst-case pack ages were tested in different working conditions. The results show that the percentage of success of the system is high even in the worst operating conditions.

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Passive Sensing Jaw for Grasping and Orienting

Alessandro Luchetti
Alessandro Luchetti University of Trento
Mariolino De Cecco
Mariolino De Cecco
Matteo Perotto
Matteo Perotto
Paolo Bosetti
Paolo Bosetti
Daniele Fontanelli
Daniele Fontanelli
Luigi Palopoli
Luigi Palopoli
Fabiano Zenatti
Fabiano Zenatti
Matteo Zanetti
Matteo Zanetti
Luca Maule
Luca Maule
Mattia Tavernini
Mattia Tavernini

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