Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.1
2.6
Journals
Electronics
Special Issues
Intelligent Perception and Control for Robotics
share announcement

Intelligent Perception 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 February 2026 | Viewed by 7174

Special Issue Editors

Dr. Qi Zou

E-Mail Website
Guest Editor
Robotics Engineering, College of Letters and Sciences, Columbus State University, Columbus, GA 31907, USA
Interests: parallel robotics; medical robot; mechatronics; solid mechanics; linkage mechanism and innovative mechanical design
Dr. Guanyu Huang

E-Mail Website
Guest Editor
Zhejiang Laboratory, Intelligent Robotics Research Center, Hangzhou 311121, China
Interests: bipedal robot control; fault tolerant control; Integrated drive joint system
Dr. Zhibo Sun

E-Mail Website
Guest Editor
Engineering Training Center, Beihang University, Beijing 100191, China
Interests: robotics and mechatronics: kinematic and dynamic analysis, the wheel-legged and boinic robots, generalized parallel mechanisms research; artificial intelligence for robotics: machine learning, deep learning, machine vision for robotics; pneumatic research: pneumatic system control, quasi-zero stiffness air spring, pneumatic vibration isolator; intelligent manufacturing: flexible manufacturing, vision-based assembly system
Special Issues, Collections and Topics in MDPI journals
Dr. Chonggang Du

E-Mail Website
Guest Editor
School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China
Interests: multibody dynamics and control; flexible system; space tether

Special Issue Information

Dear Colleagues,

Robots play an important role in daily life and industrial applications. There is continuously increasing interest in robot systems, both in academic research institutions and at industrial sites. Traditional robotics provides a time-efficient, low-cost, high-precision, and reliable solution to manufacturing processes, while conventional robot systems have less impact in other scenarios. With the rapid development of highly integrated robot systems, robots are supplied with more diverse and complicated functions via intelligent perception and control methodologies. In industry, some advanced and autonomous robots are able to deal with specific operations, even in a time-dependent environment. These robots can carry out tasks in collaboration with other robots or professional workers, which can significantly expand their applications to a higher level. Robots are becoming popular in our daily lives, especially with the integration of artificial intelligence (AI). Service robots can deliver food, provide essential guidance, and communicate with customers in restaurants, shopping malls, or banks. Some commercial robot products serve as healthcare robots or assistive robots with impressive performance.

Robot systems are becoming ‘smarter’ due to the application of advanced sensor fusion, intelligent control strategies, highly integrated algorithms, and AI. This phenomenon comes from the cross-disciplinary cooperation of mechanical engineering, electrical engineering, mechatronics, computer science, software engineering, etc. The objectives of this Special Issue are to explore the latest research addressing theoretical or experimental breakthroughs in the field of robot perception and control strategies. High-quality original research articles and review articles are welcome. Research topics include but are not limited to the following:

  • Robotics and automation;
  • SLAM (Simultaneous Localization and Mapping);
  • Human–robot interaction;
  • Parallel robotics;
  • Autonomous vehicle/robot system;
  • Motion and control of humanoid robot;
  • Industrial robot;
  • Intelligent healthcare robot and assistive robot;
  • Intelligent motion control;
  • Sensor fusion of robot sytems;
  • Sensing and action of mobile robot;
  • Perception and control of legged robot;
  • Remote sensing and control of drone and underwater robot;
  • Robot system with high precision;
  • Robot vision system;
  • Machine learning and artificial intelligence in robotics;
  • Service robot based on artificial intelligence;
  • Multibody dynamics and control;
  • Teleoperation of space robotics;
  • Fault tolerant analysis and control;
  • Flexible robot;
  • Coexisting-cooperative-cognitive Robots;
  • Surgical teleoperation;
  • Swarm intelligence;
  • Multimodal perception in robot systems;
  • Compliance control for robotics;
  • Human–robot collaboration in industry.

Dr. Qi Zou
Dr. Guanyu Huang
Dr. Zhibo Sun
Dr. Chonggang Du
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. Electronics 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

  • robotics
  • human–robot interaction
  • parallel robotics
  • medical robot

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (8 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

27 pages, 402 KiB  
Article
Transforming Robots into Cobots: A Sustainable Approach to Industrial Automation
by Michael Fernandez-Vega, David Alfaro-Viquez, Mauricio Zamora-Hernandez, Jose Garcia-Rodriguez and Jorge Azorin-Lopez
Electronics 2025, 14(11), 2275; https://doi.org/10.3390/electronics14112275 - 3 Jun 2025
Viewed by 247
Abstract
The growing need for sustainable and flexible automation solutions has led to the exploration of transforming traditional industrial robots into collaborative robots (cobots). This paper presents a framework for the conversion of conventional industrial robots into safe, intelligent, and sustainable cobots, leveraging advancements [...] Read more.
The growing need for sustainable and flexible automation solutions has led to the exploration of transforming traditional industrial robots into collaborative robots (cobots). This paper presents a framework for the conversion of conventional industrial robots into safe, intelligent, and sustainable cobots, leveraging advancements in artificial intelligence and computer vision and the principles of the circular economy. The proposed modular framework contains key components such as visual perception, cognitive adaptability, safe human–robot interactions, and reinforcement learning-based decision-making. Our methodology includes a comprehensive analysis of safety standards (e.g., ISO/TS 15066), robot typologies suitable for retrofitting, and sustainability strategies, including remanufacturing and lifecycle extension. A multi-phase implementation approach is laid out for a theoretical design to contribute to the development of cost-effective and environmentally responsible robotic systems, offering a scalable solution for extending the usability and social acceptance of legacy robotic platforms in collaborative settings. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

19 pages, 29370 KiB  
Article
Enhancing Intelligent Robot Perception with a Zero-Shot Detection Framework for Corner Casting
by Elven Kee, Jun Jie Chong, Zi Jie Choong and Michael Lau
Electronics 2025, 14(9), 1887; https://doi.org/10.3390/electronics14091887 - 6 May 2025
Viewed by 611
Abstract
This study presents a zero-shot object detection framework for corner casting detection in shipping container operations, leveraging edge computing for intelligent robotic perception and control. The proposed system integrates Grounding DINO on a Raspberry Pi, utilizing Referring Expression Comprehension (REC) and Additional Feature [...] Read more.
This study presents a zero-shot object detection framework for corner casting detection in shipping container operations, leveraging edge computing for intelligent robotic perception and control. The proposed system integrates Grounding DINO on a Raspberry Pi, utilizing Referring Expression Comprehension (REC) and Additional Feature Keywords (AFKs) to enable precise corner casting localization without model retraining. This approach reduces computational overhead while ensuring real-time deployment suitability for robotics applications. A comparative evaluation against three SSD-based models—SSD320 MobileNet-V2 FPNLite, MobileNet-V2, and EfficientDet-Lite0—reveals that Grounding DINO achieves a 7.14% higher detection score. Furthermore, a statistical effect size analysis using Cohen’s d (d = 2.2) confirms a significant performance advantage, reinforcing Grounding DINO’s efficacy in zero-shot scenarios. These findings underscore the potential of LLM-driven object detection in resource-constrained environments, offering a scalable and adaptable solution for intelligent perception and control in robotics. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

17 pages, 4600 KiB  
Article
Singularity Analysis and Mode-Switching Planning of a Symmetrical Multi-Arm Robot
by Meng Gao, Meijing Wang, Da Jiang, Erkang Li, Donglai Xu, Fuqun Zhao and Xiaodong Jin
Electronics 2025, 14(6), 1131; https://doi.org/10.3390/electronics14061131 - 13 Mar 2025
Viewed by 431
Abstract
Inspired by changing the operation mode via branch-chain switching, a symmetrical multi-arm robot is proposed to meet the demand of continuous high-performance output. The kinematics and Jacobian matrix of the mechanism are established and solved, and the parameter expression when singularity occurs is [...] Read more.
Inspired by changing the operation mode via branch-chain switching, a symmetrical multi-arm robot is proposed to meet the demand of continuous high-performance output. The kinematics and Jacobian matrix of the mechanism are established and solved, and the parameter expression when singularity occurs is obtained. As Type-I singularity is the key limiting factor of continuous motion, a branch-chain switching and motion planning method is proposed. Numerical simulation and joint interpolation control are explained according to the pseudo-inverse matrix. The mechanism completes the switching between the executing branch chain and the branch chain to be executed to realize continuous rotation with a large angle. The results prove the feasibility of the design and the correctness of the model, proving that this method can be a reference method for the design of this kind of robot. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

24 pages, 8843 KiB  
Article
Quantum Particle Swarm Optimisation Proportional–Derivative Control for Trajectory Tracking of a Car-like Mobile Robot
by Joslin Numbi, Nadjet Zioui and Mohamed Tadjine
Electronics 2025, 14(5), 832; https://doi.org/10.3390/electronics14050832 - 20 Feb 2025
Cited by 1 | Viewed by 631
Abstract
The goal of this research is to formulate and compare two algorithms, classical particle swarm optimisation (PSO) and quantum PSO (QPSO), for optimising the motion of a car-like mobile robot. Both algorithms are evaluated on the basis of their reduction and stabilisation of [...] Read more.
The goal of this research is to formulate and compare two algorithms, classical particle swarm optimisation (PSO) and quantum PSO (QPSO), for optimising the motion of a car-like mobile robot. Both algorithms are evaluated on the basis of their reduction and stabilisation of the root mean square error (RMSE) between the robot’s desired and actual trajectories. An implementation of the robot’s dynamic motion is provided. The robot’s mass and inertia are considered. The robot’s settings and the viscosity of the surroundings present a few obstacles to following the specified path. For each algorithm, the proportional (Kp) and derivative (Kd) parameters of the controller are optimised, and the convergence speeds and stabilities of the controllers are compared. The results show that both algorithms perform comparably. However, the QPSO method converges faster and is more stable at optimal Kp and Kd values. The ramifications of this research extend beyond trajectory tracking. Enhanced optimisation approaches can lead to higher performance in a variety of robotic systems, including autonomous cars, drones, and automation systems, by employing advanced quantum algorithms, such as QPSO. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

18 pages, 31043 KiB  
Article
Design and Performance Analysis of a Novel Group of Translational Parallel Robots for a Three-Axis Grinding Machine
by Qi Zou, Yuancheng Shi, Shuo Zhang, Haiqiang Zhang, Lijian Li, Guanyu Huang and Dan Zhang
Electronics 2025, 14(3), 427; https://doi.org/10.3390/electronics14030427 - 22 Jan 2025
Viewed by 780
Abstract
There are limited parallel robots applicable to three-axis grinding machines due to the restricted reachable workspace originating from multiple kinematic chains with spatial kinematic joints. The parallel robot will gain significant potential in the industry if a larger workspace can be achieved. This [...] Read more.
There are limited parallel robots applicable to three-axis grinding machines due to the restricted reachable workspace originating from multiple kinematic chains with spatial kinematic joints. The parallel robot will gain significant potential in the industry if a larger workspace can be achieved. This research introduces a special relationship between upper triangular matrix and parallel robot structures for the purpose of designing a group of novel parallel robots without spatial kinematic joints. The detailed inverse kinematic solution of the selected parallel manipulator is derived in accordance with its straightforward architecture. Several singularity configurations are found on the basis of the first-order kinematic relation. The translational reachable workspace is close to a triangular prism. The dexterity and stiffness performances based on the Jacobian matrix are explored for the chosen parallel manipulator. Both indices display a downward trend as the mobile platform rises higher. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

16 pages, 5047 KiB  
Article
Blood Cell Target Detection Based on Improved YOLOv5 Algorithm
by Xuan Song and Hongyan Tang
Electronics 2024, 13(24), 4992; https://doi.org/10.3390/electronics13244992 - 18 Dec 2024
Cited by 1 | Viewed by 1089
Abstract
In the medical field, blood analysis is a key method used to evaluate the health status of the human body. The types and number of blood cells serve as important criteria for doctors to diagnose and treat diseases. In view of the problems [...] Read more.
In the medical field, blood analysis is a key method used to evaluate the health status of the human body. The types and number of blood cells serve as important criteria for doctors to diagnose and treat diseases. In view of the problems regarding difficult classification and low efficiency in blood cell detection, this paper proposes an improved YOLOv5-BS blood cell target detection algorithm. The purpose of the improvement is to enhance the real-time performance and accuracy of blood cell type recognition. The algorithm is based on YOLOv5s as the basic network, incorporating the advantages of both CNN and Transformer architectures. First, the BotNet backbone network is incorporated. Then the YOLOv5 head architecture is replaced with the Decoupled Head structure. Finally, a new loss function SIoU is used to improve the accuracy and efficiency of the model. To detect the feasibility of the algorithm, a comparative experiment was conducted. The experiment shows that the improved algorithm has an accuracy of 92.8% on the test set, an average precision of 83.3%, and a recall rate of 99%. Compared with YOLOv8s and PP-YOLO, the average precision is increased by 3.9% and 1%, and the recall rate is increased by 3% and 2%. This algorithm effectively improves the efficiency and accuracy of blood cell detection and effectively improves the problem of blood cell detection. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

15 pages, 11432 KiB  
Article
A Triangular Structure Constraint for Pedestrian Positioning with Inertial Sensors Mounted on Foot and Shank
by Jianyu Wang, Jing Liang, Chao Wang, Wanwei Tang, Mingzhe Wei and Yiling Fan
Electronics 2024, 13(22), 4496; https://doi.org/10.3390/electronics13224496 - 15 Nov 2024
Viewed by 734
Abstract
To suppress pedestrian positioning drift, a velocity constraint commonly known as zero-velocity update (ZUPT) is widely used. However, it cannot correct the error in the non-zero velocity interval (non-ZVI) or observe heading errors. In addition, the positioning accuracy will be further affected when [...] Read more.
To suppress pedestrian positioning drift, a velocity constraint commonly known as zero-velocity update (ZUPT) is widely used. However, it cannot correct the error in the non-zero velocity interval (non-ZVI) or observe heading errors. In addition, the positioning accuracy will be further affected when a velocity error occurs in the ZVI (e.g., foot tremble). In this study, the foot, ankle, and shank were regarded as a triangular structure. Consequently, an angle constraint was established by utilizing the sum of the internal angles. Moreover, in contrast to the traditional ZUPT algorithm, a velocity constraint method combined with Coriolis theorem was constructed. Magnetometer measurements were used to correct heading. Three groups of experiments with different trajectories were carried out. The ZUPT method of the single inertial measurement unit (IMU) and the distance constraint method of dual IMUs were employed for comparisons. The experimental results showed that the proposed method had high accuracy in positioning. Furthermore, the constraints built by the lower limb structure were applied to the whole gait cycle (ZVI and non-ZVI). Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

16 pages, 8532 KiB  
Article
Automatic Parkinson’s Disease Diagnosis with Wearable Sensor Technology for Medical Robot
by Miaoxin Ji, Renhao Ren, Wei Zhang and Qiangwei Xu
Electronics 2024, 13(14), 2816; https://doi.org/10.3390/electronics13142816 - 17 Jul 2024
Viewed by 1425
Abstract
The clinical diagnosis of Parkinson’s disease (PD) has been the subject of medical robotics research. Currently, a hot research topic is how to accurately assess the severity of Parkinson’s disease patients and enable medical robots to better assist patients in the rehabilitation process. [...] Read more.
The clinical diagnosis of Parkinson’s disease (PD) has been the subject of medical robotics research. Currently, a hot research topic is how to accurately assess the severity of Parkinson’s disease patients and enable medical robots to better assist patients in the rehabilitation process. The walking task on the Unified Parkinson’s Disease Rating Scale (UPDRS) is a well-established diagnostic criterion for PD patients. However, the clinical diagnosis of PD is determined based on the clinical experience of neurologists, which is subjective and inaccurate. Therefore, in this study, an automated diagnostic method for PD based on an improved multiclass support vector machine (MCSVM) is proposed in which wearable sensors are used. Kinematic analysis was performed to extract gait features, both spatiotemporal and kinematic, from the installed IMU and pressure sensors. Comparison experiments of three different kernel functions and linear trajectory experiments were designed. The experimental results show that the accuracies of the three kernel functions of the proposed improved MCSVM are 92.43%, 93.45%, and 95.35%. The simulation trajectories of the MCSVM are the closest to the real trajectories, which shows that the technique performs better in the clinical diagnosis of PD. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-8
Back to TopTop