This comprehensive review focuses on the development and recent advancements in fault-tolerant control schemes for robotic manipulators. The authors trace the historical evolution of these schemes and discuss the significant impact of artificial intelligence, machine learning, and digital twin technologies on fault tolerance in robotic manipulator control. The article aims to provide a broad perspective on the current state of fault diagnosis and fault-tolerant control within this context, offering valuable insights for researchers and practitioners in the field.
Publication date: 6 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.02980
