applsci-logo

Journal Browser

Journal Browser

Intelligent Robotics and Mechatronics

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

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3300

Special Issue Editor


E-Mail Website
Guest Editor
Industrial and Manufacturing Department, College of Engineering, California State Polytechnic University, Pomona, CA 91768, USA
Interests: motion planning; combinatorial optimization; robotics and automation; industrial and manufacturing engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As robotic and mechatronic systems evolve and get more sophisticated, expectations of them to accomplish high-level tasks increase gradually. Robots, as incarnations of intelligent agents, have been widely applied in manufacturing, as well as service industries, and continue their increasing impact on our modern life. The ability of a robot to plan its own motions and actions, to make timely and logical decisions, and to cope with uncertainties in sensing, localization, and prediction, is pivotal to its full autonomy. Such capabilities, once a dream, can now be accomplished through intelligent methods like neural networks, advanced searching and planning methods, Fuzzy control, and other soft computing approaches. The applications of artificial intelligence (AI) have steadily been expanded in our life, from automated phone ‎callers to autonomous self-driving vehicles and much more. AI has forced many traditional jobs into ‎obsolescence and will continue to overwhelm human life.

This special issue aims to present a collection of recent advancements in intelligent robotics and mechatronics in general, and the following topics in particular: applications of AI in planning, control, and operating of robots (e.g., manipulators, wheeled and legged mobile robots, parallel robots, etc.); implementing machine learning methods in robotic and mechatronic systems; advanced methods in robot motion planning, especially in real-time and under uncertainty; sensing and data processing for intelligent and informed decision-making; intelligent human-robot interaction and haptics; multi-robot coordination and cooperation, Internet of Things and networks of intelligent hard and soft agents; Industrie 4.0 and applications. Manuscripts on other related topics are also encouraged to be submitted.

Dr. Ellips Masehian
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. 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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 4696 KiB  
Article
Real-Time Terrain-Following of an Autonomous Quadrotor by Multi-Sensor Fusion and Control
by Yuan Yang, Yongjiang Huang, Haoran Yang, Tingting Zhang, Zixuan Wang and Xixiang Liu
Appl. Sci. 2021, 11(3), 1065; https://doi.org/10.3390/app11031065 - 25 Jan 2021
Cited by 7 | Viewed by 2834
Abstract
For the application of the autonomous guidance of a quadrotor from confined undulant ground, terrain-following is the major issue for flying at a low altitude. This study has modified the open-source autopilot based on the integration of a multi-sensor receiver (a Global Navigation [...] Read more.
For the application of the autonomous guidance of a quadrotor from confined undulant ground, terrain-following is the major issue for flying at a low altitude. This study has modified the open-source autopilot based on the integration of a multi-sensor receiver (a Global Navigation Satellite System (GNSS)), a Lidar-lite (a laser-range-finder device), a barometer and a low-cost inertial navigation system (INS)). These automatically control the position, attitude and height (a constant clearance above the ground) to allow terrain-following and avoid obstacles based on multi-sensors that maintain a constant height above flat ground or with obstacles. The INS/Lidar-lite integration is applied for the attitude and the height stabilization, respectively. The height control is made by the combination of an extended Kalman filter (EKF) estimator and a cascade proportional-integral-derivative (PID) controller that is designed appropriately for the noise characteristics of low accuracy sensors. The proposed terrain-following is tested by both simulations and real-world experiments. The results indicate that the quadrotor can continuously navigate and avoid obstacles at a real-time response of reliable height control with the adjustment time of the cascade PID controller improving over 50% than that of the PID controller. Full article
(This article belongs to the Special Issue Intelligent Robotics and Mechatronics)
Show Figures

Figure 1

Back to TopTop