Advanced Grasping and Motion Control Solutions, Edition II

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Industrial Robots and Automation".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1911

Special Issue Editors


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Guest Editor
1. Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Osaka, Japan
2. EPAM School of Digital Technologies, American University Kyiv (Powered by Arizona State University), 02000 Kyiv, Ukraine
Interests: robotics; grasping; manipulation; industrial robot; gripping device; pneumatics; ejection; contactless transportation; handling; CFD; modeling; 3D printing
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Guest Editor
1. Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
2. Department of Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA
Interests: robotics; surgical robotics; teleoperation; haptics; surgical skill assessment
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Division of Systems and Automatic Control, Department of Electrical and Computer Engineering, University of Patras, Greece
Interests: Prescribed performance control; Multi-agent systems; Robotics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate School of Engineering Science, Osaka University, Osaka 565-0871, Japan
Interests: grasping; manipulation; industrial robot; humanoid robot
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Robotic systems are now present in all spheres of human life. Robots have shown great advantages for, and are used widely in, many controlled, simple, and repetitive applications such as grasping, pick-and-place operations, and manipulation tasks, including teleoperated systems. Applications for these types of systems have spanned the medical, industrial, manufacturing, and autonomous exploration fields. However, the design approaches for grasping and motion control in these diverse areas of robotics can vary greatly, which is attributed to the fact that most robotic systems are typically designed for very specific types of tasks. Although many universal grippers and control strategies have been developed for robotic systems, there remain, nonetheless, many applications for which highly specialized grippers or control techniques must be used. In addition, we are now beginning to see that in designing highly specialized grippers, novel control strategies can be enabled and vice versa. Intentionally co-designing both the grasping end-effector as well as the motion control strategy may enable new classes of highly specialized, yet also universal, robotic manipulation technologies. Highlighting the current research focused on issues of advanced robotic grasping and motion control solutions is important in terms of fostering further interdisciplinary connections between researchers for vast application domains, as well as sub-specialties in robot design and control.

This Special Issue invites the submission of papers that present new methods, approaches, designs, concepts, and software tools for advanced robotic grasping and motion control solutions. Particular attention will be paid to solving grasping problems, modeling grippers, and robot motion control in various software environments, as well as improving the design of novel robotic solutions. Potential topics may include, but are not limited to: the design and prototyping of grippers; motion planning and control; modeling/simulation of robotic applications; robotic grasping and dexterous manipulation; human–robot interaction; the computation of robotic systems; and control systems in experiments.

Dr. Roman Mykhailyshyn
Dr. Ann Majewicz Fey
Dr. Charalampos Bechlioulis
Prof. Dr. Kensuke Harada
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • robotics
  • grippers
  • grasping
  • motion control
  • dexterous manipulation
  • robotic applications
  • human–robot interaction
  • haptics
  • computation robotic systems
  • modeling of robotic applications
  • finite element method
  • robot design
  • advanced robotic manufacturing
  • rapid prototyping

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Published Papers (1 paper)

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Research

21 pages, 33968 KiB  
Article
Multiple-Object Grasping Using a Multiple-Suction-Cup Vacuum Gripper in Cluttered Scenes
by Ping Jiang, Junji Oaki, Yoshiyuki Ishihara and Junichiro Ooga
Robotics 2024, 13(6), 85; https://doi.org/10.3390/robotics13060085 - 27 May 2024
Cited by 2 | Viewed by 1226
Abstract
Multiple-suction-cup grasping can improve the efficiency of bin picking in cluttered scenes. In this paper, we propose a grasp planner for a vacuum gripper to use multiple suction cups to simultaneously grasp multiple objects or an object with a large surface. To take [...] Read more.
Multiple-suction-cup grasping can improve the efficiency of bin picking in cluttered scenes. In this paper, we propose a grasp planner for a vacuum gripper to use multiple suction cups to simultaneously grasp multiple objects or an object with a large surface. To take on the challenge of determining where to grasp and which cups to activate when grasping, we used 3D convolution to convolve the affordable areas inferred by a neural network with the gripper kernel in order to find graspable positions of sampled gripper orientations. The kernel used for 3D convolution in this work was encoded, including cup ID information, which helps to directly determine which cups to activate by decoding the convolution results. Furthermore, a sorting algorithm is proposed to determine the optimal grasp among the candidates. Our planner exhibited good generality and successfully found multiple-cup grasps in previous affordance map datasets. Our planner also exhibited improved picking efficiency using multiple suction cups in physical robot-picking experiments. Compared with single-object (single-cup) grasping, multiple-cup grasping contributed to 1.45×, 1.65×, and 1.16× increases in efficiency for picking boxes, fruits, and daily necessities, respectively. Full article
(This article belongs to the Special Issue Advanced Grasping and Motion Control Solutions, Edition II)
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