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Recent Advances in Robotics, Factory Automation and Intelligent Networked Systems

Av: Medverkande: Materialtyp: ArtikelUtgivningsinformation: CH MDPI - Multidisciplinary Digital Publishing Institute 2026Beskrivning: 1 electronic resource (186 p.)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783725863648
  • 9783725863655
Ämnen: Onlineresurser: Sammanfattning: This Reprint brings together nine cutting-edge contributions (mainly extended papers from the 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI' 2025)) addressing intelligent industrial systems, robotics, and machine learning applications for next-generation manufacturing. The articles cover advances in autonomous navigation for ground and aerial robots, social and collaborative human–robot interaction frameworks, and reinforcement-learning strategies for dual-arm assembly and dexterous manipulation in clutter. Further studies explore online anomaly detection at the edge, predictive-maintenance digital twins, privacy-preserving energy-prediction models, and emerging robotic applications in sports engineering. Together, these works highlight the rapid evolution of AI-driven automation and demonstrate how robotics, sensing, and data-centric methods are reshaping industrial environments toward safer, more adaptive, and more efficient operations.
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This Reprint brings together nine cutting-edge contributions (mainly extended papers from the 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI' 2025)) addressing intelligent industrial systems, robotics, and machine learning applications for next-generation manufacturing. The articles cover advances in autonomous navigation for ground and aerial robots, social and collaborative human–robot interaction frameworks, and reinforcement-learning strategies for dual-arm assembly and dexterous manipulation in clutter. Further studies explore online anomaly detection at the edge, predictive-maintenance digital twins, privacy-preserving energy-prediction models, and emerging robotic applications in sports engineering. Together, these works highlight the rapid evolution of AI-driven automation and demonstrate how robotics, sensing, and data-centric methods are reshaping industrial environments toward safer, more adaptive, and more efficient operations.

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eng

Freely available e-book