Advances and Challenges in Robotic Manipulation

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 131

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, The University of West Florida, 11000 University Pkwy, Pensacola, FL 32514, USA
Interests: robotics and control theory; micro-manipulation; image processing/analysis

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI, USA
Interests: legged locomotion; collaborative robots; learning-based control

Special Issue Information

Dear Colleagues,

Humans are capable of manipulating objects of various sizes, shapes, and materials to perform complex tasks. Replicating this capability in robotic systems has long been a fundamental challenge in robotics. The first robotic manipulator, developed in the 1960s, was designed for repetitive tasks with a limited degree of freedom. Over the decades, advancements in sensing, control, and machine learning have significantly expanded robotic manipulation capabilities. Today, research in this field is rapidly evolving, addressing challenges in perception, dexterity, learning, and adaptability across various environments.

The Special Issue “Advances and Challenges in Robotic Manipulation” aims to summarize the latest developments and emerging trends in this field. It provides an international platform for researchers, academics, and industry professionals to discuss key challenges, share knowledge and open-source tools, and highlight high-impact applications of robotic manipulation. By showcasing recent breakthroughs and future opportunities, this Special Issue seeks to advance the state of the art and inspire further innovation in robotic manipulation.

We welcome submissions from all related topics in academic research and industry, including, but not limited to, the following:

  • Modelling, design, and control of robotic grippers, hands, and manipulators;
  • Planning and perception for robotic grasping and dexterous manipulation;
  • Learning-based approaches for robotic manipulation;
  • Manipulation in dynamic and unstructured environments;
  • Robotic handling of deformable and soft objects;
  • Safety, robustness, and human–robot interaction in manipulation;
  • Sim-to-real transfer in robotic manipulation;
  • Industrial and real-world applications of robotic manipulation.

Dr. Quang Minh Ta
Dr. Tan Chen
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. Machines 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 2400 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

  • robotic manipulation
  • grasping
  • dexterous manipulation
  • motion planning
  • learning-based approaches
  • sim-to-real transfer
  • industrial robotics
  • deformable objects
  • dynamic environments
  • human–robot interaction

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Published Papers

This special issue is now open for submission.
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