Multimodal Robot Intelligence for Grasping and Manipulation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 10 October 2024 | Viewed by 32
Special Issue Editor
Interests: AI deep learning; machine learning; pattern recognition; brain engineering; biomedical imaging/signal analysis; robot intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Robot intelligence is an exciting interdisciplinary field that includes robotics, machine learning, pattern recognition, and visuomotor/sensorimotor controls. The aim of robot intelligence for grasping and manipulating objects is to achieve the dexterity of grasping and manipulation in humans. Recently, advancements in machine learning methods, particularly deep learning, have accelerated the growth of this new discipline, such that robots can learn to grasp and manipulate various objects autonomously, similarly to humans.
This Special Issue intends to share the novel ideas and works of researchers and technical experts in the field of robot intelligence based on multi-modalities such as vision, language, etc.
This Special Issue is dedicated to presenting high-quality, original research papers in the following overlapping fields:
- Multimodal artificial intelligence for grasping and manipulation;
- Signal-arm and dual-arm robot intelligence;
- Robotics for dexterous grasping and manipulation;
- Anthropomorphic grasping and manipulation;
- Short- and long-horizon grasping and manipulation;
- Artificial intelligence, machine learning, deep learning, and deep reinforcement learning in robotics;
- Robotic machine vision intelligence;
- Robot visuomotor and sensorimotor tasks.
Prof. Dr. Tae-Seong Kim
Guest Editor
Manuscript Submission Information
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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. Applied Sciences 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
- multimodal robot intelligence
- machine learning
- deep learning
- deep reinforcement learning
- machine vision intelligence
- visuomotor/sensorimotor tasks
- short- and long-horizon grasping and manipulation
- single- and dual-arm grasping and manipulation
