Intelligent Perception and Control for Robotics, 2nd Edition

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 448

Special Issue Editors


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
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Technology Research and Development Department, China Resources Enterprise, Limited, Hong Kong, China
Interests: engineering; mechanism; kinematic calibration; parallel robot; kinematics; reconfigurable parallel mechanism
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

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 Issues, Collections and Topics in MDPI journals
Department of Engineering and Industrial Professions, University of North Alabama, Florence, AL 35632, USA
Interests: robot vision; mechatronics; robotics

E-Mail Website
Guest Editor
Institute of Intelligent Rehabilitation Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: robot; wearable ankle rehabilitation

E-Mail Website
Guest Editor
School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, Changsha 410205, China
Interests: adaptive control theory; path planning; impedance control
School of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China
Interests: robot control

Special Issue Information

Dear Colleagues,

Robots play an important role in daily life and industrial applications. There is growing interest in robot systems both in academic research institutes and industrial sites. Traditional robotics provides a time-efficient, low-cost, high-precision, and reliable solution in manufacturing processes, while conventional robot systems have a smaller 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 certain tasks in collaboration with other robots or professional workers, which can significantly expand their applications to a higher level. Robots are becoming popular in daily life, 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 robots serve as healthcare robots or assistive robots, and demonstrate impressive performances.

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-discipline collaboration between mechanical engineering, electrical engineering, mechatronics, computer science, and software engineering, etc. The objectives of this Special Issue are to explore the latest research that addresses theoretical or experimental breakthroughs in the field of robot perception and control strategies. High-quality original research articles and review articles are welcome. The research topics include, but are not limited to, the following:

Keywords:

  • 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 systems;
  • 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
Dr. Shuo Zhang
Dr. Hongyan Tang
Dr. Yueyuan Zhang
Dr. Le Bao
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 250 words) can be sent to the Editorial Office for assessment.

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.

Related Special Issue

Published Papers (1 paper)

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

Research

28 pages, 7015 KB  
Article
Dynamical System-Based Fuzzy Adaptive Admittance Control for Uncertain Environments
by Jaeyun Sim, Yonoo Kim, Eui-Chan Kim, Eunseop Song, Seungyeon Lee, Jaeyoon Sim and Hyouk Ryeol Choi
Electronics 2026, 15(10), 2045; https://doi.org/10.3390/electronics15102045 - 11 May 2026
Viewed by 208
Abstract
This paper presents a fuzzy-based adaptive admittance control (FAAC) framework for position-controlled robots in uncertain contact environments. The proposed FAAC regulates admittance parameters using three fuzzy adaptation maps rather than directly generating robot control inputs. The Mass-Adaptation Fuzzy Map (MAFM) adjusts the dominant [...] Read more.
This paper presents a fuzzy-based adaptive admittance control (FAAC) framework for position-controlled robots in uncertain contact environments. The proposed FAAC regulates admittance parameters using three fuzzy adaptation maps rather than directly generating robot control inputs. The Mass-Adaptation Fuzzy Map (MAFM) adjusts the dominant virtual mass eigenvalue, the Damper–Mass Ratio Fuzzy Map (DMRFM) adapts the damping-related ratio, and the Rendering-Quality Supervisory Fuzzy Map (RQ-SFM) restricts unsafe low-mass adaptation based on rendering quality and vibration metrics. An energy-tank-based admissibility filter is integrated to preserve passivity during online parameter adaptation and contact transitions. Comparative simulations against a stiffness-adaptive baseline and an ablated mass–damping adaptive baseline under nominal, noisy, and filtered sensing conditions verify the robustness of the proposed architecture. Experiments on a UR10 polishing task further show that the proposed FAAC improves force-tracking consistency and contact-maintenance robustness compared with fixed-parameter AAC baselines and FAAC-M. In particular, the proposed FAAC achieved the lowest force standard deviation of 2.76 N and no contact-loss events, whereas the baseline AAC controllers exhibited force fluctuations associated with abrupt desired stiffness changes during contact. These results demonstrate the effectiveness of FAAC for robust robot–environment interaction under uncertain contact conditions. Full article
(This article belongs to the Special Issue Intelligent Perception and Control for Robotics, 2nd Edition)
Show Figures

Figure 1

Back to TopTop