Enhanced Perception in Robotics Control and Manipulation
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 6857
Special Issue Editors
Interests: machine learning; deep learning; object detection; semantic segmentation; robotic grasping and manipulation; multi-agent system; estimation; optimization
Interests: artificial intelligence; multi-agent systems; cloud computing and distributed systems; technology-enhanced learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Robotic systems are ubiquitous in production industries.
Nonetheless, the advent of collaborative solutions together with advanced and learning control approaches, are lowering the entering barriers thus unlocking the use of robots in “soft” as well as unstructured “everyday” environments.
However, to effectively control robot interactions with the surroundings, correctly sensing and perceiving the environment is a necessary preliminary task.
The Special Issue in “Enhanced Perception in Robotics Control and Manipulation” encourages novel and original papers presenting high-quality research specifically focusing on perception technologies for robotic systems. A special emphasis will be on novel representations and approaches for robotics manipulation and grasping with focus on “adversarial” objects, e.g., characterized by transparent, reflective, and feature-less surfaces.
Despite learning-based solutions currently playing a key and disruptive role in perception technologies, less data-hungry approaches are encouraged and will also be considered within the scope of this SI. Indeed, topics are invited from a wide range of disciplines and perspectives, including but are not restricted to the following:
- Advances in object detection;
- Advances in semantic segmentation;
- Object representation;
- Deep learning solutions to machine vision;
- Scene understanding;
- Learning embeddings;
- Machine vision to robot grasping and manipulation.
Dr. Marco Todescato
Dr. Fernando De la Prieta
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. Electronics is an international peer-reviewed open access semimonthly 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 perception
- object detection
- semantic segmentation
- deep vision
- learning embeddings
- robotic manipulation
