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Robotic compact storage and retrieval systems (RCS/RS) represent a modern and useful storage system since the number of installed systems is growing fast. The modularity and demand-based scalability are reasons, therefore. Nonetheless, there are hardly any statements on the performance of those warehouses. This paper presents an analytical calculation approach to determine the performance of an RCS/RS with one operating robot serving different grid sizes and a varying number of stacked containers. The robot's cycle time is calculated by assuming a uniform distribution of container stacks and a probabilistic storage height. A discrete-event simulation model of an RCS/RS is built to verify and validate the analytical approximations. The system's basic structure and the input parameters originate from a European material handling provider. After the verification and validation, an extensive parameter variation is done with the target of displaying a wide range of usage. This analytical approach, which is easy and fast solvable with standard calculation programs, represents an easy and fast tool to predict the performance of one robot operating in an RCS/RS for any system configuration.
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http://dx.doi.org/10.1038/s41598-024-53884-6 | DOI Listing |
Bioinspir Biomim
September 2025
Mechanical Intelligence (MI) Research Group, London South Bank University, 103 Borough Road, London, London, SE1 0AA, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Conventional rigid grippers remain the most-used robotic grippers in industrial assembly tasks. However, they are limited in their ability to handle a diverse range of objects. This study draws inspiration from nature to address these limitations, employing multidisciplinary methods, such as computer-aided design, parametric modeling, finite element analysis, 3D printing, and mechanical testing.
View Article and Find Full Text PDFJTCVS Open
August 2025
Division of Thoracic Surgery, Department of Surgery, Tufts Medical Center, Boston, Mass.
Objective: Current evaluation of robotic surgeon proficiency relies on subjective assessment. The robotic platform collects highly granular kinematic data on surgeon activity, known as objective performance indicators (OPIs). We sought to compare surgeon proficiency during lobectomies across training levels using OPIs.
View Article and Find Full Text PDFAim: This study explores the evolving landscape of gastrectomy procedures in Japan, based on nationwide surveys conducted in 2014 and 2021. It highlights changes in surgical approaches, including a growing focus on minimally invasive and function-preserving procedures, as well as the increasing consideration of postoperative quality of life (QOL).
Methods: Two nationwide questionnaire surveys were conducted in 2014 and 2021, targeting members of the Japanese Society for Gastro-surgical Pathophysiology.
J Robot Surg
September 2025
Department of Orthopedic Surgery, Orthopedic and Rheumatology Institute, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH, A4144195, USA.
Robotic-assisted total joint arthroplasty (RA-TJA) is projected to account for 70% of all arthroplasties by 2030, yet its economic value and operational efficiency have yet to be thoroughly synthesized. While early literature emphasized technical precision, evolving payment models and implementation costs have shifted focus toward cost-effectiveness and workflow integration. To evaluate the economic and institutional viability of RA-TJA by synthesizing available evidence on capital costs, perioperative expenses, learning curves, throughput, and long-term adoption trends.
View Article and Find Full Text PDFPurpose: Robotic-assisted total knee arthroplasty (RA-TKA), which is increasingly used to improve surgical precision, can face adoption difficulties due to a learning curve marked by longer operating times. The aim of this study was to evaluate the learning curve associated with the VELYS™ robot in five surgeons from the same centre with different annual arthroplasty volumes using navigated assistance with personalised alignment. The primary aim was to assess the learning curve for each surgeon.
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