Improved spherical search algorithm with memory-based dynamic population for optimization DOI
Sicheng Liu, Sichen Tao,

Kaiyu Wang

и другие.

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 10, 2025

Язык: Английский

Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability DOI Creative Commons
Claudio Urrea

Actuators, Год журнала: 2025, Номер 14(4), С. 177 - 177

Опубликована: Апрель 4, 2025

Cooperative robotics relies on robust fault-tolerant control (FTC) to maintain resilience in dynamic environments, where actuators are pivotal system reliability. This review synthesizes advancements hybrid FTC, integrating mechanical redundancy with electronic adaptability and learning-based techniques like deep reinforcement learning swarm-optimized control, drawing from interdisciplinary evidence across manufacturing, healthcare, agriculture, space exploration, underwater robotics. It examines how these approaches enhance uptime, precision, coordination multi-robot systems, reporting significant improvements despite physical validation being limited approximately one-quarter of strategies. Addressing gaps prior work by overcoming limitations traditional methods, it extends Construction 5.0, supporting human–robot collaboration (HRC) through scalability adaptability. Future efforts will prioritize broader testing, standardized benchmarks, safety considerations, optimization under uncertainty align theoretical gains practical outcomes, enhancing resilient automation domains.

Язык: Английский

Процитировано

0

Improved spherical search algorithm with memory-based dynamic population for optimization DOI
Sicheng Liu, Sichen Tao,

Kaiyu Wang

и другие.

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0