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Tens of crawling bio-robots with cockroaches as the mobile platform have been developed with various functions. Compared with artificial crawling robots of the same size, they revealed better flexibility, larger payload, and stronger endurance. These features made bio-robots ideal for pipeline inspection scenarios because the advancements in locomotion mechanisms and efficient power systems are still hurdles for current artificial systems. In this study, we controlled the bio-robot to crawl in the confined dark pipeline and achieved autonomous motion control with the help of an onboard sensing system. Specifically, a micro-camera was mounted on the electronic backpack of the cockroach for image collection, and an IMU sensor was used to compute its body orientation. The electronic backpack transmitted images to the host computer for junction recognition and distance estimation. Meanwhile, the insect's habituation to electrical stimulation has long been an uncertain factor in the control of bio-robots. Here, a synergistic stimulation strategy was proposed to markedly reduce the habituation and increase the number of effective turning controls to over 100 times. It is also found that both the increase of payload and the application of stimulations could promote the metabolic rate by monitoring carbon dioxide release. With the integration of synergistic stimulation and autonomous control, we demonstrated the fully autonomous pipeline navigation with our cockroach bio-robot, which realized the cycle number of approximately 10 in a roll. This research provides a novel technology that has the potential for practical applications in the future.
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http://dx.doi.org/10.34133/cbsystems.0067 | DOI Listing |
Mol Ecol Resour
September 2025
College of Life Sciences, Henan Normal University, Xinxiang, China.
Miniature inverted-repeat transposable elements (MITEs) are short, non-autonomous class II transposable elements prevalent in eukaryotic genomes, contributing to various genomic and genic functions in plants. However, research on MITEs mainly targets a few species, limiting a comprehensive understanding and systematic comparison of MITEs in plants. Here, we developed a highly sensitive MITE annotation pipeline with a low false positive rate and applied it to 207 high-quality plant genomes.
View Article and Find Full Text PDFPhotodiagnosis Photodyn Ther
September 2025
Department of Ophthalmology, People's Hospital of Feng Jie, Chongqing, 404600, China. Electronic address:
Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.
Materials: AND.
Methods: A total of 2,165 patients from eight medical centers were enrolled.
Int J Comput Assist Radiol Surg
September 2025
School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin, China.
Objective: Cataract surgery is among the most frequently performed procedures worldwide. Accurate, real-time segmentation of the cornea and surgical instruments is vital for intraoperative guidance and surgical education. However, most existing deep learning-based segmentation methods depend on pixel-level annotations, which are time-consuming and limit practical deployment.
View Article and Find Full Text PDFInfect Dis Ther
September 2025
Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, 530023, Guangxi, China.
Tuberculosis (TB) remains a significant global public health challenge, despite recent advances in drug development. However, a comprehensive and systematic overview of the current clinical trial landscape in TB prevention and treatment is still lacking. This study aims to systematically review recent breakthroughs in TB drug development, assess their scientific value and global impact, and provide valuable insights for clinicians and policymakers involved in TB control efforts.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Electronic Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.
Urdu and English are widely used for visual text communications worldwide in public spaces such as signboards and navigation boards. Text in such natural scenes contains useful information for modern-era applications such as language translation for foreign visitors, robot navigation, and autonomous vehicles, highlighting the importance of extracting these texts. Previous studies focused on Urdu alone or printed text pasted manually on images and lacked sufficiently large datasets for effective model training.
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