Intelligent Control for Next-Generation 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 2027 | Viewed by 292
Editors
Interests: multi-mode robot; mechanism design; robotics control
Interests: parallel robot; robot mechanism; mechanism synthesis; mechanical metamaterials
Interests: parallel robot mechanism; general-purpose humanoid robots/quadruped robots; robotic dexterous hands and grasping; intelligent bionic unmanned aerial vehicle
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is dedicated to advancing the field of Intelligent Control as the core enabler for next-generation robotics. The focus is on cutting-edge control paradigms that go beyond traditional methods, emphasizing autonomy, adaptability, and cognitive interaction in complex, real-world environments. We will explore the integration of machine learning, artificial intelligence, and advanced computational intelligence with robotic systems to create more resilient, responsive, and capable machines.
The scope of the issue encompasses both theoretical developments and practical applications. Key topics include, but are not limited to: deep reinforcement learning for robotic control, adaptive and nonlinear control strategies, AI-driven perception-action cycles, human–robot collaboration through intuitive interfaces, and intelligent control for soft, swarm, and bio-inspired robots. Contributions addressing robustness, safety, and ethical considerations in these intelligent systems are also highly encouraged.
The purpose is to consolidate the latest high-quality research and present a cohesive snapshot of the state-of-the-art in this rapidly evolving field. This issue can also provide a platform for researchers to share innovative solutions that address the significant challenges in moving robotics from structured settings to dynamic, unstructured, and human-centric environments.
This issue moves beyond siloed perspectives by uniquely synthesizing AI and control theory for robotics. It serves as a crucial reference, bridging theoretical advances and practical applications to chart a clear pathway for next-generation autonomous systems.
Dr. Fuqun Zhao
Prof. Dr. Wei Ye
Dr. Chunxu Tian
Dr. Xiaodong Jin
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-anonymized 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
- intelligent control
- deep reinforcement learning
- adaptive control
- human–robot collaboration
- AI-driven robotics
- autonomous systems
- soft robotics
- swarm robotics
- robust perception-action loops
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