The body structures and motion stability of worm-like and snake-like robots have garnered significant research interest. Recently, innovative serial-parallel hybrid segmented robots have emerged as a fundamental platform for a wide range of motion modes. To address the hyper-redundancy characteristics of these hybrid structures, we propose a novel caterpillar-inspired Stable Segment Update (SSU) gait generation approach, establishing a unified framework for multi-segment robot gait generation. Drawing inspiration from the locomotion of natural caterpillars, the segments are modeled as rigid bodies with six degrees of freedom (DOF). The SSU gait generation method is specifically designed to parameterize caterpillar-like gaits. An inverse kinematics solution is derived by analyzing the forward kinematics and identifying the minimum lifting segment, framing the problem as a single-segment end-effector tracking task. Three distinct parameter sets are introduced within the SSU method to account for the stability of robot motion. These parameters, represented as discrete hump waves, are intended to improve motion efficiency during locomotion. Furthermore, the trajectories for each swinging segment are determined through kinematic analysis. Experimental results validate the effectiveness of the proposed SSU multi-gait generation method, demonstrating the successful traversal of gaps and rough terrain.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3390/biomimetics9120754 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11673175 | PMC |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Instituto Mexicano del Seguro Social, IMSS Hospital General de Zona Número 17, Monterrey, Nuevo León, México.
Introduction: Rheumatoid arthritis (RA) is a progressive autoimmune inflammatory disease. According to the European League Against Rheumatism (EULAR), the stages of RA progression include pre-RA, preclinical RA, inflammatory arthralgia, arthralgia with positive antibodies, arthralgia suspected of progressing to RA, undifferentiated arthritis and finally established RA. According to the Community Oriented Program for Control of Rheumatic Diseases (COPCORD), the prevalence of RA in Mexico is 1.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Faculty of Health Sciences, Department of Nursing, Division of Public Health Nursing, Bandırma Onyedi Eylül University, Balıkesir, Turkey.
Aim: This study aimed to translate the Environmental Health Literacy Scale (EHLS) into Turkish and assess its construct validity and internal consistency.
Methods: This research employs a methodological design. The research was conducted during the 2022-2023 academic year with a sample of 500 students from the Faculty of Health Sciences.
Sci Rep
December 2024
Hepatobiliary and Pancreatic Medical Treatment Center, People's Hospital of Xinjiang Uygur, Autonomous Region, Tianchi road, Urumqi, 830011, China.
With the advancement of precise hepatobiliary surgery concepts, the diagnostic and therapeutic approaches for hepatic echinococcosis have undergone significant transformations. However, whether these changes have correspondingly improved patient outcomes remains unclear. A retrospective analysis of these changes will provide crucial guidance for the prevention and treatment of hepatic echinococcosis.
View Article and Find Full Text PDFSci Rep
December 2024
School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.
Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!