The integration of robotics, artificial intelligence (AI), and power electronics is playing a transformative role in shaping sustainable and intelligent transportation systems for electric vehicles (EVs) and future smart mobility solutions. AI-controlled robotic systems, combined with advancements in power electronic converters, are driving innovations in EV charging infrastructure, fleet coordination, autonomous navigation, and predictive maintenance. These developments are contributing to the emergence of transportation systems that are smarter, more efficient, and environmentally responsible. However, challenges remain in scaling these technologies, especially in ensuring robust energy conversion, system interoperability, cybersecurity, and overall energy efficiency.
This Research Topic aims to bridge the interdisciplinary gaps between AI-powered robotics, power electronics, and smart mobility. It offers a platform for researchers, industry experts, and policymakers to present novel technologies and approaches that enhance the safety, performance, and scalability of EV ecosystems. A key objective is to explore how AI-enhanced power electronic systems can be synergistically integrated with robotic technologies to address real-world challenges in electric transportation.
We welcome contributions focused on, but not limited to, the following themes:
Machine learning-based battery management systems, including battery degradation prediction and estimation of remaining useful life.
AI-powered robotic solutions for automated EV charging, including fast-charging automation, wireless power transfer, and associated power electronic designs.
Multi-agent robotic systems for intelligent traffic and fleet energy management, incorporating coordinated control and V2X communication.
AI-based control for real-time decision-making in autonomous electric vehicles, including power-efficient path planning and energy-aware urban mobility solutions.
Intelligent power electronic converters and inverters integrated with robotic control for EVs, focusing on predictive maintenance, diagnostics, and fault-tolerant operation.
AI-enhanced robotic systems for managing EV infrastructure, including automated parking and smart grid-enabled energy routing.
Cybersecurity frameworks for power electronic-based EV systems, targeting secure communication and system integrity in autonomous mobility.
We invite original research articles, reviews, and case studies addressing theoretical advancements, practical implementations, and emerging trends in the synergistic domains of AI, robotics, power electronics, and smart mobility.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Original Research
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Original Research
Perspective
Review
Technology and Code
Keywords: AI-powered Robotics, Power Electronics, Smart Mobility, Electric Vehicles, Autonomous Systems
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
