Special Issue "Path Planning and Control for Robotics"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 July 2023 | Viewed by 1730

Special Issue Editors

Department of Mechanical Engineering Technology, New York City College of Technology, New York, NY 11201, USA
Interests: mechatronics; robotics and control; virtual reality; computer vision; embedded system design; mechanical system design
Department of Mechanical Engineering, California State Polytechnic University, Pomona, CA 91768, USA
Interests: robotics; human-robot interaction; mechatronics; virtual environment; engineering education
Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK
Interests: adaptive control and signal processing; nonlinear robust control; linear and nonlinear system identification; estimation theory and evolutionary computing and optimization with applications in robotics and autonomous systems as well as active noise and vibration control systems

Special Issue Information

Dear Colleagues,

Although robot path planning and control research started as early as late 1960s, the popularity and progress speed in these fields are increasing. The path planning might be implemented in both the structured and unstructured environments via intensive computation with hardware, software, and algorithms. The algorithm design requires integration of kinematic and dynamic of the mobile robots or manipulators while considering other constraints imposed by the environment.

Although the publications relating to the path planning and control are ubiquitous, there is an ever increasing interest in areas such as industrial automation, unmanned aerial and ground systems, nano locomotion, agriculture automation, virtual rehabilitation, rescue robots, prosthesis, medical surgery, etc. which in turn intensify the use of the path planning into advanced robotics. Hitherto, the researchers are confronting the challenges by integrating many cutting-edge techniques that involve wireless sensor & actuator networks, parallel computing, the internet of things, artificial intelligence, computer vision, and other novel research approaches.

To promote the innovation in robot path planning and control methodologies, this special issue is to solicit but not limit the following topics:

  • Object recognition to promote cognitive robotics in path planning
  • Human motion synthesis to develop the bionic robot
  • Wireless sensor and actuator network used in path planning and control of robots
  • Path planning for automation of surgery robot
  • Nonholonomic system to mobile robotics
  • Collision detection and path-planning in structured or unstructured environments
  • Computational structure to support path planning and control
  • Trajectory tracking and path planning
  • Collaborative robot and robot motion-control
  • Controllability of mobile robots for path planning
  • Steering methods and topological optimization
  • Supervised and unsupervised learning for environment survey and path planning

Dr. Zhou Zhang
Dr. Yizhe Chang
Dr. Allahyar Montazeri
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 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.


  • motion planning
  • trajectory generation
  • manipulators
  • mobile robots
  • collision avoidance
  • object recognition
  • collaborative robots

Published Papers (1 paper)

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Modeling, Trajectory Analysis and Waypoint Guidance System of a Biomimetic Underwater Vehicle Based on the Flapping Performance of Its Propulsion System
Electronics 2022, 11(4), 544; https://doi.org/10.3390/electronics11040544 - 11 Feb 2022
Cited by 1 | Viewed by 1074
The performance of biomimetic underwater vehicles directly depends on the correct design of their propulsion system and its control. These vehicles can attain highly efficient motion, hovering and thrust by properly moving part(s) of their bodies. In this article, a mathematical modeling and [...] Read more.
The performance of biomimetic underwater vehicles directly depends on the correct design of their propulsion system and its control. These vehicles can attain highly efficient motion, hovering and thrust by properly moving part(s) of their bodies. In this article, a mathematical modeling and waypoint guidance system for a biomimetic autonomous underwater vehicle (BAUV) is proposed. The BAUV achieves sideways and dorsoventral thunniform motion by flapping its caudal fin through a parallel mechanism. Also, an analysis of the vehicle’s design is presented. A thrust analysis was performed based on the novel propulsion system. Furthermore, the vehicle’s kinematics and dynamic models were derived, where hydrodynamic equations were obtained as well. Computed models were validated using simulations where thrust and moment analysis was employed to visualize the vehicle’s performance while swimming. For the path tracking scheme, a waypoint guidance system was designed to correct the vehicle’s direction toward several positions in space. To accurately obtain waypoints, correction over the propeller’s flapping frequency and bias was employed to achieve proper thrust and orientation of the vehicle. The results from numerical simulations showed how by incorporating this novel propulsion strategy, the BAUV improved its performance when diving and maneuvering based on the dorsoventral and/or sideways configuration of its swimming mode. Furthermore, by designing proper strategies to regulate the flapping performance of its caudal fin, the BAUV followed the desired trajectories. The efficiency for the designed strategy was obtained by comparing the vehicle’s traveled distance and ideal scenarios of straight-line trajectories between targets. During simulations, the designed guidance system presented an efficiency of above 80% for navigation tasks. Full article
(This article belongs to the Special Issue Path Planning and Control for Robotics)
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