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Robotics
Special Issues
Applied Intelligent Robot for Uncertain Environments
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Applied Intelligent Robot for Uncertain Environments

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 15251

Special Issue Editors

Dr. Cheng Siong Chin

E-Mail Website
Guest Editor
Faculty of Science, Agriculture and Engineering, Newcastle University in Singapore, Singapore 599493, Singapore
Interests: intelligent systems modeling and design; electrothermal battery; underwater vehicle system control; acoustic enclosure; machine learning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Rongxin Cui

E-Mail Website
Guest Editor
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Interests: underwater vehicles; nonlinear control; path planning
Special Issues, Collections and Topics in MDPI journals
Dr. Caizhi Zhang

E-Mail Website
Guest Editor
School of Automotive Engineering, Chongqing University, Chongqing 400044, China
Interests: fuel cell vehicle hybrid power and intelligent system; fuel cell modeling and control; power electronics and energy management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to rapid technological advancement, industries aim to reduce manpower by incorporating robot. Industrial robots have to be intelligent in the sense of having conscious thought to allow them to make decisions that impact their performance and actions. There are many successful applications of artificially-intelligent algorithms, such as genetic algorithms, neural networks, and fuzzy logic, which have been proposed for environment exploration, surveillance missions, and collaborative object transportation. However, these applications are not necessarily used in a labor-intensive industry, such as railway track maintenance or domestic cleaning, where it is hard to find manpower to work long hours. In addition, the implementation of these robots is still facing numerous challenges, such as uncertainties in operating environment in the fields of control systems design, human–robot interactions, fast computational times, robust communication networks and rapid implementation with ease of future maintenance in mind. 

The aim of this Special Issue in Intelligent Robot for Uncertain Environments should contain latest development in intelligent robots across different industries, operating in uncertain environments. Relevant technologies enhancing prototyping, simulation, dexterity, stability, flexibility and user experience are desired. Researchers involved in robotics should find this particular issue extraordinary and it will provide the latest perspective on the state-of-the-art.

Prof. Cheng Siong Chin
Prof. Dr. Rongxin Cui
Prof. CaiZhi Zhang
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. 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

  • Kinematics, dynamics, and structures design
  • Image-based and signal-based processing
  • Fault identification and detection
  • Signal processing and pattern recognition
  • Wireless communication systems
  • Human-robot interaction
  • Visual servoing for object tracking
  • Object obstacle avoidance
  • Renewable energy resources
  • Multi-sensors fusion for control/feedback
  • Intelligent embedded control and autonomous systems
  • Machine learning methods
  • Swarm intelligence and evolutionary algorithms
  • Artificial neural networks
  • Quantification and measurement of user experience

Published Papers (2 papers)

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Research

25 pages, 10722 KiB  
Article
Development of a Robotic Airboat for Online Water Quality Monitoring in Lakes
by Marcelo Melo, Francisco Mota, Victor Albuquerque and Auzuir Alexandria
Robotics 2019, 8(1), 19; https://doi.org/10.3390/robotics8010019 - 07 Mar 2019
Cited by 15 | Viewed by 8268
Abstract
Maintenance of water resources through collection of water followed by laboratory analysis, is a key factor in the measurement of water quality. The main difficulty for water collection and analysis is the logistics of the process, since the collections are often made by [...] Read more.
Maintenance of water resources through collection of water followed by laboratory analysis, is a key factor in the measurement of water quality. The main difficulty for water collection and analysis is the logistics of the process, since the collections are often made by mall boats in very distant aquifers, applying manual processes, and are sometimes based on few samples. In this paper, the development, construction, and implementation of a robotic airboat to measure water quality in lakes has been described. The airboat was developed in the form of a mini-boat, in a fiberglass structure, whose interior housed a battery, a Raspberry Pi mini-computer, a Wi-Fi router for connection to a notebook, tablet or cell phone, and sensors connected to the Arduino platform. The airboat was validated in two lagoons in Fortaleza, and in a reservoir in the city of Pacatuba. The results were collected with the purpose of analyzing the parameters of each lagoon. The main contribution of this work was the development of an autonomous system of acquiring water parameters from several points of the lagoon. Full article
(This article belongs to the Special Issue Applied Intelligent Robot for Uncertain Environments)
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29 pages, 10948 KiB  
Article
Motion Planning and Reactive Control Algorithms for Object Manipulation in Uncertain Conditions
by Marco Costanzo, Giuseppe De Maria, Gaetano Lettera, Ciro Natale and Salvatore Pirozzi
Robotics 2018, 7(4), 76; https://doi.org/10.3390/robotics7040076 - 27 Nov 2018
Cited by 4 | Viewed by 6271
Abstract
This work proposes the application of several smart strategies for object manipulation tasks. A real-time flexible motion planning method was developed to be adapted to typical in-store logistics scenarios. The solution combines and optimizes some state-of-the-art techniques to solve object recognition and localization [...] Read more.
This work proposes the application of several smart strategies for object manipulation tasks. A real-time flexible motion planning method was developed to be adapted to typical in-store logistics scenarios. The solution combines and optimizes some state-of-the-art techniques to solve object recognition and localization problems with a new hybrid pipeline. The algorithm guarantees good robustness and accuracy for object detection through depth images. A standard planner plans collision-free trajectories throughout the whole task while a proposed reactive motion control is active. Distributed proximity sensors were adopted to locally modify the planned trajectory when unexpected or misplaced obstacles intervene in the scene. To implement a robust grasping phase, a novel slipping control algorithm was used. It dynamically computes the grasp force by adapting it to the actual object physical properties so as to prevent slipping. Experimental results carried out in a typical supermarket scenario demonstrate the effectiveness of the presented methods. Full article
(This article belongs to the Special Issue Applied Intelligent Robot for Uncertain Environments)
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