Guest Editor(s)
Prof. Daniel-Ioan Curiac
Email: daniel.curiac@aut.upt.ro
Affiliation: Department of Automation and Applied Informatics, Politehnica University Timisoara, Timisoara , Romania
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Research Interests: artificial intelligence, wireless sensor and actuator networks, information security
Assoc. Prof. Dan Pescaru
Email: dan.pescaru@cs.upt.ro
Affiliation: Department of Computer Science and Engineering, Politehnica University Timisoara, Timisoara , Romania
Homepage:
Research Interests: artificial intelligence, computer vision, databases, software engineering
Summary
Robotics is experiencing rapid growth, and the integration of machine learning (ML) is driving significant advancements in perception, decision-making, control, and autonomy. This special issue aims to present the latest research, applications, and emerging trends in ML for robotics and intelligent robotic assistance, spanning foundational algorithms to real-world implementations. We seek original research articles and review papers that demonstrate how ML techniques can enhance robotic and human-robotic systems in complex and dynamic environments.
Topics of interest include (but are not limited to):
• ML for robot perception, environment modeling, and sensor fusion
• Deep learning, reinforcement learning, and transfer learning for autonomous navigation and control
• Federated and distributed learning in multi-robot systems
• Human–robot interaction and collaborative learning
• Applications in smart manufacturing, service robots, autonomous vehicles and ML-assisted driving, and medical robotics
• Explainable, reliable, and safe ML-driven robotic systems
Keywords
machine learning, robotics, multi-robot systems, deep learning, reinforcement learning, AI
Published Papers
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