查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting from Shenyang, People's Republic of China, by NewsRx journalists, research stated, "Robots' manipulation accuracy i s heavily determined by the calibration accuracy of the tool center point (TCP). This article proposes posture-sequence particle swarm optimization (PS2O) for T CP calibration." Financial support for this research came from China Postdoctoral Science Foundat ion. The news correspondents obtained a quote from the research from the Chinese Acad emy of Sciences, "First, the mechanism of the condition number and the minimum e igenvalue of the regression matrix on the calibration accuracy are analyzed. Sec ond, a multiobjective optimization problem is constructed based on the condition number, the minimum eigenvalue, and the sum of adjacent posture distances. Fina lly, an optimized posture sequence is obtained by applying the particle swarm op timization (PSO) algorithm to the constructed multiobjective optimization proble m. Simulations and experiments demonstrate that the error of TCP calibration can be characterized by the condition number and the minimum eigenvalue of the regr ession matrix. Compared with random posture sampling, the optimized posture sequ ence for sampling reduces the norm of the calibration error by 38.66% ."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Riyadh, Saudi Arabia, by NewsRx correspondents, research stated, "The healthcare system in Saudi Arab ia is growing rapidly with the utilization of advanced technologies. Therefore, this study aimed to assess the Saudi public perceptions and opinions towards art ificial intelligence (AI) in health care." Funders for this research include King Saud University, Saudi Arabia.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Urologic Diseases and Conditions-Urinary Incontinence is the subject of a report. According to news originating from Changchun, People's Republic of China, by NewsRx correspondents , research stated, "Even though robotic-assisted laparoscopic radical prostatect omy (RARP) is superior to open surgery in reducing postoperative complications, 6-20% of patients still experience urinary incontinence (UI) after surgery. Therefore, many researchers have established predictive models for UI occurrence after RARP, but the predictive performance of these models is inconsi stent." Our news journalists obtained a quote from the research from the Department of R eproductive Medicine Center, "This study aims to systematically review and criti cally evaluate the published prediction models of UI risk for patients after RAR P. We conducted a comprehensive literature search in the databases of PubMed, Co chrane Library, Web of Science, and Embase. Literature published from inception to March 20, 2024, which reported the development and/or validation of clinical prediction models for the occurrence of UI after RARP. We identified seven studi es with eight models that met our inclusion criteria. Most of the studies used l ogistic regression models to predict the occurrence of UI after RARP. The most c ommon predictors included age, body mass index, and nerve sparing procedure. The model performance ranged from poor to good, with the area under the receiver op erating characteristic curves ranging from 0.64 to 0.98 in studies. All the stud ies have a high risk of bias. Despite their potential for predicting UI after RA RP, clinical prediction models are restricted by their limited accuracy and high risk of bias. In the future, the study design should be improved, the potential predictors should be considered from larger and representative samples comprehe nsively, and high-quality risk prediction models should be established."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "When legged robots perform complex t asks in unstructured environments, falls are inevitable due to unknown external disturbances. However, current research mainly focuses on the locomotion control of legged robots without falling." Our news journalists obtained a quote from the research from Research and Develo pment Center, "This paper proposes a comprehensive decision-making and control f ramework to address the falling over of quadruped robots. First, a capturability -based fall prediction algorithm is derived for planar singlecontact and 3D mul ti-contact locomotion with a predefined gait sequence. For safe fall control, a novel contact-implicit trajectory optimization method is proposed to generate bo th state and input trajectories and contact mode sequences. Specifically, incorp orating uncertainty into the system and terrain models enables mitigating the no n-smoothness of contact dynamics while improving the robustness of the resulting trajectories. Furthermore, a model-free deep reinforcement learning-based appro ach is presented to achieve fall recovery after the robot completes a fall. Expe rimental results demonstrate that the proposed fall prediction algorithm accurat ely predicts robot falls with up to 95% accuracy approximately 395 ms in advance. Compared to classical locomotion controllers, which often struggl e to maintain balance under significant pushes or terrain perturbations, the pre sented framework can autonomously switch to the fall controller approximately 0. 06s after the perturbation, effectively preventing falls or achieving recovery w ith a threefold reduction in touchdown impact velocity."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news originating from Hubei, People's Republic of China, by NewsRx correspondents, research stated, "Thanks to compact structural integrati on and high locomotion performance, introducing vibration and asymmetric interac tion with the ground is known as an important driving strategy in medium-sized ( roughly cm similar to dm scale) mobile robots. For vibrations of different relat ive intensities, the vibro-bot may be in a continuous sliding state during movem ent (sliding locomotion), or may be in intermittent jumping and sliding states ( hopping locomotion)." Funders for this research include Natural Science Basic Research Plan in Shaanxi Province of China, National Natural Science Foundation of China (NSFC), Guangdo ng Basic and Applied Basic Research Foundation, Shenzhen Science and Technology Innovation Program.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating in Sivakasi, India, by NewsRx journalists, research stated, "Microplastics (MPs) p ose a significant threat to aquatic ecosystems, impacting both plant and animal life. Their small size and pervasive presence make their identification and char acterization challenging, often requiring time-consuming and labour-intensive an alytical methods." Financial support for this research came from Tamil Nadu, India.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on robotics are discussed in a new report. According to news originating from Shaanxi University of Science & Technology by NewsRx correspondents, research stated, "Efficient and stable cont rol and task assignment optimization in electronic commerce logistics and wareho using systems involving multiple robots executing multiple tasks is highly chall enging." Funders for this research include National Key Research And Development Program of China; Basic Research Program of Guangzhou City of China; Guangdong Water Con servancy Science And Technology Innovation Project. The news reporters obtained a quote from the research from Shaanxi University of Science & Technology: "Hence, this paper proposes a Swiss round s election algorithm for multi-robot task allocation to address the challenges men tioned. Firstly, based on the shipping process of electronic commerce logistics and warehousing systems, the tasks are divided into packaging and sorting stages , and a grid model for the electronic commerce warehousing system is established . Secondly, by increasing the probabilities of crossover and mutation in the pop ulation and adopting a full crossover and full mutation approach, the search sco pe of the population is expanded. Then, a Swiss round selection mechanism with b urst probability is proposed, which ensures the smooth inheritance of high-quali ty individuals while improving the diversity of the population. Finally, 12 comp arative experiments are designed with different numbers of robots and tasks."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery-Surgical Tec hnology is the subject of a report. According to news reporting from Beijing, Pe ople's Republic of China, by NewsRx journalists, research stated, "The KangDuo S urgical Robot (KD-SR) is a newly developed surgical robot. To compare the safety and efficacy of robot-assisted radical prostatectomy (RARP) using the KD-SR wit h those of the da Vinci Si Surgical System (DV-SS-Si)." The news correspondents obtained a quote from the research from Peking Union Med ical College, "A prospective double-center noninferiority randomized controlled trial was conducted among 18-75-yr-old patients with suspected T1-2N0M0 prostate cancer (PCa) scheduled for RARP. RARP with the KD-SR (KD-RARP) versus RARP with the DV-SS-Si (DV-RARP). The primary outcome was surgical success, defined as fo llows: surgery can be performed according to the established protocol, without s witching to other surgical modalities, and without secondary surgery due to surg ical complications after surgery. The secondary outcome was short-term functiona l and oncological outcomes. The noninferiority threshold was set at 10% . Eighty patients were enrolled, while the full analysis set finally included 79 patients (40 with KD-RARP and 39 with DV-RARP). The success rate was 100% in both groups. We could not find differences in urinary continence rate at 1, 2 , 3, and 4 wk after catheter removal between the groups (p > 0.05). The rate of Clavien-Dindo grade II adverse events was 20% in the KD-RARP group and 17.9 % in the DV-RARP group (p = 0.82), an d no grade III adverse events occurred. The median operation time was significan tly longer in the KD-RARP group than in the DV-RARP group (177.5 vs 145 min, p = 0.012). The main limitations were the short follow-up period and that survival was not considered as the primary outcome. The KD-SR is a viable option for RARP , with acceptable short-term outcomes compared with the DV-SS-Si for T1-2 PCa."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology-Thyroid Can cer is the subject of a report. According to news reporting from Zhejiang, Peopl e's Republic of China, by NewsRx journalists, research stated, "Thyroid carcinom a (TC), the most commonly diagnosed malignancy of the endocrine system, has witn essed a significant rise in incidence over the past few decades. The integration of scRNA-seq with other sequencing approaches offers researchers a distinct per spective to explore mechanisms underlying TC progression."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting originating from the College of Computer Science and Technology by NewsRx correspondents, research stated, "M achine learning-based software defect prediction (SDP) approaches have been comm only proposed to help to deliver high-quality software. Unfortunately, all the p revious research conducted without effective feature reduction suffers from high -dimensional data, leading to unsatisfactory prediction performance measures." Financial supporters for this research include National Key Research And Develop ment Program of China.
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