Embodied AI: From Robots to Smart Objects

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "AI in Robotics".

Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 9989

Special Issue Editor


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Guest Editor
Department of Applied Data Science, Hong Kong Shue Yan University, Hong Kong
Interests: big data applications; IoT applications; data mining; crowdsourcing; human computation; recommendation system; social computing; computer networking

Special Issue Information

Dear Colleagues,

Recently, we have witnessed a surge in interest in embodied AI that could explore and interact with complex environments. The design and control of such intelligent agents raise a large number of interesting research questions.

Within the last decade, advances in deep learning have resulted in remarkable progress in the computer vision and broader AI communities. This progress has enabled models to begin to obtain superhuman performance on a wide variety of passive tasks.

The research field of Embodied AI put the physical entity of our body in the middle of the research subject to gain further insights into intelligence, and explore how our brain and ourselves as a whole develop through physical interactions with the real world. In the age of Artificial Intelligence and Machine Learning, the research of embodied intelligence is still highly important, and delivering even more valuable input to extend the impact of conventional AI technology in the near future.

For this reason, this special issue aims to bring together researches from the fields of computer vision, language, graphics, and robotics to share and discuss the current state of AI that can:

  • See: perceive their environment through vision or other senses.
  • Talk: hold a natural language dialog grounded in their environment.
  • Listen: understand and react to audio input anywhere in a scene.
  • Act: navigate and interact with their environment to accomplish goals.
  • Reason: consider and plan for the long-term consequences of their actions.

Dr. Connie Man-Ching YUEN
Guest Editor

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

  • embodied mobile robots
  • embodied artificial intelligence
  • embodied computer vision for robotics
  • embodied computation
  • embodied social interaction for robots
  • embodied system-level architecture for mobile robots
  • embodied categorisation for vision-guided mobile robots
  • embodied conversational agents

Published Papers (1 paper)

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Review

20 pages, 2189 KiB  
Review
A Comprehensive Review of Vision-Based Robotic Applications: Current State, Components, Approaches, Barriers, and Potential Solutions
by Md Tanzil Shahria, Md Samiul Haque Sunny, Md Ishrak Islam Zarif, Jawhar Ghommam, Sheikh Iqbal Ahamed and Mohammad H Rahman
Robotics 2022, 11(6), 139; https://doi.org/10.3390/robotics11060139 - 02 Dec 2022
Cited by 6 | Viewed by 6421
Abstract
Being an emerging technology, robotic manipulation has encountered tremendous advancements due to technological developments starting from using sensors to artificial intelligence. Over the decades, robotic manipulation has advanced in terms of the versatility and flexibility of mobile robot platforms. Thus, robots are now [...] Read more.
Being an emerging technology, robotic manipulation has encountered tremendous advancements due to technological developments starting from using sensors to artificial intelligence. Over the decades, robotic manipulation has advanced in terms of the versatility and flexibility of mobile robot platforms. Thus, robots are now capable of interacting with the world around them. To interact with the real world, robots require various sensory inputs from their surroundings, and the use of vision is rapidly increasing nowadays, as vision is unquestionably a rich source of information for a robotic system. In recent years, robotic manipulators have made significant progress towards achieving human-like abilities. There is still a large gap between human and robot dexterity, especially when it comes to executing complex and long-lasting manipulations. This paper comprehensively investigates the state-of-the-art development of vision-based robotic application, which includes the current state, components, and approaches used along with the algorithms with respect to the control and application of robots. Furthermore, a comprehensive analysis of those vision-based applied algorithms, their effectiveness, and their complexity has been enlightened here. To conclude, there is a discussion over the constraints while performing the research and potential solutions to develop a robust and accurate vision-based robot manipulation. Full article
(This article belongs to the Special Issue Embodied AI: From Robots to Smart Objects)
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