Robotic Intelligence Development of AI in Robot Perception, Learning, and Decision
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 695
Special Issue Editors
2. Department of Information and Communication Engineering, Graduate School of Engineering, Nagoya University, Nagoya 4648601, Japan
Interests: soft robotics; wearable robotics; bioinspired robotics; deep learning; large language model (LLM)
Special Issues, Collections and Topics in MDPI journals
Interests: robot control; mobile robotics; articulated robots; motion and path planning; intelligent control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) in robotics has ushered in a new era of autonomous, adaptive, and intelligent systems capable of performing complex tasks across a wide range of domains. This Special Issue, entitled ‘Robotic Intelligence Frontier Exploration of AI in Robot Perception, Learning, and Decision’, aims to explore the transformative role of AI in advancing robotic capabilities, with a particular focus on the following key areas: Brain–Computer Interfaces (BCIs), reinforcement learning in autonomous robots, robot perception through computer vision, humanoid robots with affective computing, collaborative robots (cobots), smart manufacturing in the context of Industry 4.0, intelligent medical robots, augmented reality-enhanced robot interactions, context-aware and adaptive systems, and multi-robot systems leveraging collective intelligence.
We invite contributions that delve into how AI is reshaping these domains, enabling robots to learn, perceive, collaborate, and adapt in dynamic real-world environments. Topics of interest include the development of advanced BCIs for human–robot interactions, the application of reinforcement learning for autonomous decision making, the evolution of humanoid robots equipped with affective computing for emotional intelligence, and the use of cobots in industrial and collaborative settings. Additionally, we encourage research on AI-driven advancements in smart manufacturing, medical robotics, augmented reality interfaces, and multi-robot systems. Our goal is to highlight how AI is driving new developments in robotic intelligence, improving robot autonomy, adaptability, and interactivity.
We look forward to your innovative research that explores these exciting areas and contributes to the ongoing evolution of intelligent robotics.
Dr. Yanhong Peng
Prof. Dr. Fernando Gomez-Bravo
Guest Editors
Manuscript Submission Information
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Keywords
- brain–computer interface (BCI)
- autonomous robots and reinforcement learning
- robot perception and computer vision
- humanoid robots and affective computing
- collaborative robots (cobots)
- smart manufacturing and Industry 4.0
- intelligent medical robots
- augmented reality and robot interactions
- context-aware and adaptive robots
- multi-robot systems and collective intelligence
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