Sensors, Vol. 19, Pages 4019: Fault Detection and Diagnosis in Multi-Robot Systems: A Survey
Sensors, Vol. 19, Pages 4019: Fault Detection and Diagnosis in Multi-Robot Systems: A Survey Sensors doi: 10.3390/s19184019 Authors: Eliahu Khalastchi Meir Kalech The use of robots has increased significantly in the recent years; rapidly expending to numerous applications. These sophisticated machines are susceptible to different types of faults that might endanger the robot or its surroundings. These faults must be detected and diagnosed in time to allow continual operation. The field of Fault Detection and Diagnosis (FDD) has been studied for many years. This research has given birth to many approaches that are applicable to different types of physical machines. However, the domain of robotics poses unique requirements that challenge traditional FDD approaches. The study of FDD for robotics is relatively new; only few surveys were presented. These surveys have focused on the single robot scenario. To the best of our knowledge, there is no survey that focuses on FDD for Multi-Robot Systems (MRS). In this paper we set out to fill this gap. This paper provides detailed insights to the world of FDD for MRS. We first describe how different attributes of MRS pose different challenges for FDD. With respect to these challenges, we survey different FDD approaches applicable for MRS. We conclude with a description of research opportunities in this field. With these contributions it is the authors’ intention to provide detailed insights to the world of FDD for MRS.
Publication date: September 2019Source: Sports Orthopaedics and Traumatology, Volume 35, Issue 3Author(s): B. Drews, G. Bauer
Publication date: Available online 18 October 2019Source: Journal of Science and Medicine in SportAuthor(s): Cailbhe Doherty, Alison Keogh, James Davenport, Aonghus Lawlor, Barry Smyth, Brian CaulfieldAbstractObjectiveMarathoners rely on expert-opinion and the anecdotal advice of their peers when devising their training plans for an upcoming race. The accumulation of results from multiple scientific studies has the potential to clarify the precise training requirements for the marathon. The purpose of the present study was to perform a systematic review, meta-regression and meta-analysis of available literature to determin...
Publication date: Available online 17 October 2019Source: The Lancet Respiratory MedicineAuthor(s): The Lancet Respiratory Medicine
Publication date: Available online 17 October 2019Source: The Lancet Respiratory MedicineAuthor(s): Eric D McCollum, Carina King, Tim Colbourn, Hamish Graham, Mike Bernstein, Iain H Wilson, William Checkley