Sensing and AI: Advancements in Robotics and Autonomous Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 62
Special Issue Editors
Interests: force and tactile sensors; haptics; robot assisted ultrasound diagnostic system; medical training system; medical robots; robot platform software development; flexible manipulators; shape sensors; surgical robots; soft manipulators
Interests: robotics; control systems; mobile robot; capsule robot; capsule endoscopy; artificial intelligence; deep learning; sensor fusion; robotic (self-driving) cars; robotics and AI for healthcare
Special Issues, Collections and Topics in MDPI journals
Interests: continuum robotic systems for in-situ maintenance; legged robotic systems with parallel mechanisms; soft robotic systems with embedded sensing; precision farming robotic systems; miniaturised robotic systems
Special Issue Information
Dear Colleagues,
Recent advancements in sensing technology and artificial intelligence (AI) have revolutionised mechanism design, paving the way for groundbreaking developments in robotics and automation. The integration of high-precision sensors with AI-driven algorithms has enabled more adaptive, efficient, and intelligent robotic systems, transforming industries ranging from manufacturing and healthcare to space exploration and autonomous vehicles.
This special issue focuses on the latest innovations and applications at the intersection of sensing technology, AI, and mechanism design. Topics of interest include novel sensing techniques, AI-enhanced control systems, machine learning for optimisation, bio-inspired robotics, and real-time data processing for automation. By bringing together cutting-edge research and practical applications, this issue aims to highlight emerging trends, address key challenges, and foster collaboration among researchers, engineers, and industry professionals.
We invite contributions that explore theoretical frameworks, experimental studies, and real-world implementations, offering insights into the next generation of robotic and autonomous systems.
Dr. Yohan Noh
Dr. Md Nazmul Huda
Dr. Mingfeng Wang
Guest Editors
Manuscript Submission Information
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Keywords
- sensing technology
- Artificial Intelligence (AI)
- mechanism design
- robotics automation
- smart sensors
- machine learning
- control systems
- bio-inspired robotics
- human-robot interaction
- autonomous systems
- industrial automation
- deep learning in robotics
- embedded AI
- tactile and vision-based sensing
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