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New Insights into Intelligent Robotics
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New Insights into Intelligent Robotics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 March 2025 | Viewed by 2223

Special Issue Editors

Prof. Dr. Licheng Wu

E-Mail Website
Guest Editor
School of Information Engineering, Minzu University of China, Beijing, China
Interests: intelligent robotics; robotic hand; redundent robot; space robot; insect robot; computer games; computational linguistics
Dr. Haiming Huang

E-Mail Website
Guest Editor
College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
Interests: intelligent robots; soft robot; embedded control systems
Prof. Dr. Xiong Luo

E-Mail Website1 Website2
Guest Editor
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Interests: machine learning; optimization; complex system; intelligent processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of computer, big data, artificial intelligence, and other technologies, intelligent robots with strong perception ability and autonomous decision-making ability have also made great progress. There are many kinds of intelligent robots, which cover different intelligent system objects in various application systems. In general, there are still many open problems that need to be solved in the fields of configuration, modeling and control, optimization analysis, perception and autonomous decision making and planning, and system application of intelligent robots. Determining how to develop and how to view intelligent robots are also worth studying. This Special Issue aims to provide scholars with the latest views and perspectives on the current situation, as well as the latest research results and development directions in intelligent robots. Therefore, we welcome papers on the research and development, application, and related technologies of intelligent robots.

This Special Issue aims to collect high-quality research papers in the field of intelligent robotics. We encourage researchers from various fields within the journal’s scope to contribute original papers highlighting the latest developments in their research field or to invite relevant experts and colleagues to do so. Topics of interest for this Special Issue include but are not limited to:

  • Configuration of intelligent robotics;
  • Modeling and control of intelligent robotics;
  • Optimization analysis of intelligent robotics;
  • Perception, cognition, and autonomous decision making and planning of intelligent robotics;
  • System application of intelligent robotics;
  • Soft operation with intelligent robots;
  • Artificial intelligence methods for intelligent robots;
  • Other related topics.

Prof. Dr. Licheng Wu
Dr. Haiming Huang
Prof. Dr. Xiong Luo
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. 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

  • intelligent robotics
  • configuration of intelligent robotics
  • modeling and control of intelligent robotics
  • optimization analysis of intelligent robotics
  • perception, cognition, and autonomous decision making and planning of intelligent robotics
  • system application of intelligent robotics
  • soft operation with intelligent robots
  • artificial intelligence methods for intelligent robots

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Published Papers (2 papers)

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Research

17 pages, 13979 KiB  
Article
A Parcel Transportation and Delivery Mechanism for an Indoor Omnidirectional Robot
by Elena Rubies, Ricard Bitriá and Jordi Palacín
Appl. Sci. 2024, 14(17), 7987; https://doi.org/10.3390/app14177987 - 6 Sep 2024
Viewed by 675
Abstract
Parcel transportation is a task that is expected to be highly automated with the development of application-specific mobile robots. This paper presents the design and implementation of a parcel transportation and delivery mechanism aimed at converting a general-purpose indoor omnidirectional robot into an [...] Read more.
Parcel transportation is a task that is expected to be highly automated with the development of application-specific mobile robots. This paper presents the design and implementation of a parcel transportation and delivery mechanism aimed at converting a general-purpose indoor omnidirectional robot into an indoor delivery robot. The design of this new mechanism has considered the best placement in the robot and the limitation of not exceeding the original robot diameter. The mechanism consists of a basket with a lid that allows for the manual loading and automatic unloading of parcels. Despite the space limitations imposed by the general-purpose robot design, the designed mechanism can transport up to 90% of the packages received in an educational building. The mechanism was empirically validated by conducting 125 static manual loading experiments, 150 static unloading experiments, and 50 complete parcel delivery experiments. Results show that the delivery robot can efficiently deliver 78% of the total packages received in the building: envelopes, very small parcels, and small parcels. In the case of medium parcels, the delivery was unsuccessful in 30% of cases, in which the parcel did not properly slide out of the basket. Full article
(This article belongs to the Special Issue New Insights into Intelligent Robotics)
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26 pages, 6010 KiB  
Article
Optimization Method of the Clamping Force for Large Cabin Parts
by Shuangji Yao, Yijv Luan, Marco Ceccarelli and Giuseppe Carbone
Appl. Sci. 2023, 13(23), 12575; https://doi.org/10.3390/app132312575 - 22 Nov 2023
Cited by 2 | Viewed by 928
Abstract
In order to realize the stable clamping of large cabin parts, this paper studied the clamping force optimization of the clamping mechanism for large-mass and large-size cabin parts. Firstly, three kinds of contact models are introduced. Then, a clamping matrix is constructed for [...] Read more.
In order to realize the stable clamping of large cabin parts, this paper studied the clamping force optimization of the clamping mechanism for large-mass and large-size cabin parts. Firstly, three kinds of contact models are introduced. Then, a clamping matrix is constructed for a particular clamping configuration. The nonlinear friction cone constraint at the contact point is transformed into a linear affine constraint in a smooth Riemannian manifold using the special structure of the positive definite symmetric matrix. Finally, a large cabin part used in the aerospace field is used as an example for calculating and simulating the clamping force optimization. Different optimization algorithms are used to calculate the initial value which is put into the gradient flow optimization method of the clamping force for optimization calculation. Meanwhile, the normal clamping force value of a 2 t object is measured using relevant experimental equipment. The simulation results and experimental results show that the gradient flow optimization method of the clamping force can quickly complete the clamping force optimization of large-mass and large-size cabin parts. The actual measured value of the normal clamping force is close to the simulated convergence value. The distribution of the normal force of the clamping mechanisms and the convergence value of the clamping force for each clamping mechanism can provide some references for determining the output clamping force of the clamping mechanism and confirming a reasonable distribution of the clamping mechanism. It also confirms the feasibility and effectiveness of this method applied to the clamping force optimization for a large axial part. Full article
(This article belongs to the Special Issue New Insights into Intelligent Robotics)
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