查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting out of Shenyang, People’s Republic of China, by NewsRx editors, research stated, “Robot touch is a vital interaction mode for emotional communication and human mental support in HRI. However, little is known about how robot touch characteristics influence the users’ subjective perception of emotion and physiological reactions.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Northeastern University, “Therefore, a within-subject experiment of robot touches was conducted with the touch type (contact versus grip), length (long versus short), and location (hand versus forearm) as independent variables. The subjective perception was measured with PANAS scales. Electrocardiography (ECG) and functional near-infrared spectroscopy (fNIRS) were utilized to measure the participant’s cardiac autonomic nervous system responses and cerebral central nervous system responses. Results showed that touch type and length jointly affected users’ subjective perception of emotion and cerebral activity, and location affected users’ heart rate variability and cerebral activity. The results suggest that robot short-grip and long-contact behaviors might bring users more positive emotions.”
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting originating in Harbin, People’s Republic of China, by NewsRx journalists, research stated, “This work is aimed at addressing the balance problem of hydraulic quadruped robots, trotting on even terrain, which is impacted by lateral disturbance. The ability of push recovery means that a robot can restore stability when the roll angle of the body is too large after a strong side impact.” The news reporters obtained a quote from the research from the Harbin Institute of Technology, “To maintain the balance of the impacted robot, three strategies are proposed inspired by the human response to external disturbance, including supporting leg adjustment strategy, one-step motion of swinging legs strategy, and N-step motion of swinging legs strategy. Quadruped robots can be considered as humanoids owing to the nature of their trotting gait. Thus, the contributions of this artile are as follows. A simplified dynamic model of a quadruped robot is established based on linear inverted pendulum (LIP), and the idea of capture point (CP) and zero moment point (ZMP). A push recovery control system based on model predictive controller (MPC) is established according to the requirement of the control strategy.”
查看更多>>摘要：Fresh data on Machine Learning are presented in a new report. According to news reporting from Tiruchirappalli, India, by NewsRx journalists, research stated, “In this study, advanced machine learning techniques were utilized to forecast the thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables, including friction factor (f), Nusselt number (Nu), effectiveness (epsilon), and number transfer units (NTU), were modeled as functions of Reynolds number (Re), the number of turbulators (N), and the length of turbulators (L).” The news correspondents obtained a quote from the research from the SRM Institute of Science and Technology, “To predict the DPHE’s thermohydraulic performance, datasets were gathered from realtime experiments (case-1 and case-2) and literature (case-3). For clarity and analytical purposes, case-1 and case-2 were dimensioned to match the specifications outlined in literature (case-3). 1 represented a conventional DPHE without turbulators, while case-2 involved a DPHE with a gear disc turbulator. Additionally, datasets for DPHE with dolphin ring turbulators (case-3) were obtained for validation from literature. Subsequently, two ensemble boosting algorithms (extreme gradient and categorical) and one bagging algorithm (random forest) were applied to the dataset. The results highlighted that the categorical boosting model exhibited the highest accuracy, achieving a coefficient of determination (R2) of 0.9987 and an average absolute percent relative error (AAPRE) of 0.1837%. Furthermore, a sensitivity analysis was conducted for the best model (Random Forest), revealing relationships between input and output parameters.”
查看更多>>摘要：New research on Biotechnology - Biohybrids is the subject of a report. According to news reporting from California, United States, by NewsRx journalists, research stated, “The vast majority of the ocean’s volume remains unexplored, in part because of limitations on the vertical range and measurement duration of existing robotic platforms. In light of the accelerating rate of climate change impacts on the physics and biogeochemistry of the ocean, the need for new tools that can measure more of the ocean on faster timescales is becoming pressing.” Funders for this research include National Science Foundation, National Science Foundation Graduate Research Fellowship Program. The news correspondents obtained a quote from the research from the California Institute of Technology, “Robotic platforms inspired or enabled by aquatic organisms have the potential to augment conventional technologies for ocean exploration. Recent work demonstrated the feasibility of directly stimulating the muscle tissue of live jellyfish via implanted microelectronics. We present a biohybrid robotic jellyfish that leverages this external electrical swimming control, while also using a 3D printed passive mechanical attachment to streamline the jellyfish shape, increase swimming performance, and significantly enhance payload capacity. A six-meter-tall, 13,600-liter saltwater facility was constructed to enable testing of the vertical swimming capabilities of the biohybrid robotic jellyfish over distances exceeding 35 body diameters. We found that the combination of external swimming control and the addition of the mechanical forebody resulted in an increase in swimming speeds to 4.5 times natural jellyfish locomotion. Moreover, the biohybrid jellyfish were capable of carrying a payload volume up to 105\% of the jellyfish body volume. The added payload decreased the intracycle acceleration of the biohybrid robots relative to natural jellyfish, which could also facilitate more precise measurements by onboard sensors that depend on consistent platform motion.”
查看更多>>摘要：Data detailed on Artificial Intelligence have been presented. According to news reporting from Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Smart cities have attracted a lot of attention from interdisciplinary research, and plenty of artificial intelligence based solutions have been proposed. However, cyber security has always been a serious problem, and it is becoming more and more severe in smart cities.” Funders for this research include Major Key Project of PCL, Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies. The news correspondents obtained a quote from the research from the School of Computer Science and Technology, “The existing attack defense methods are not suitable for detecting multi-step attacks since the detection rules are limited and the efficiency is limited by a large number of false security alarms. Hence, an advanced solution is urgently needed to improve cyber security defense capability. In this paper, we propose a novel attack detection framework called ACAM. To better represent the cyber security knowledge, the framework is based on the MDATA model, which can represent dynamic and temporalspatial knowledge better than the knowledge graph. The framework consists of the knowledge extraction module, the subgraph generation module, the alarm correlation module, and the attack detection module. These modules can remove false alarms and improve the detection capabilities of multi-step attacks. We implement the framework and conduct experiments on the cyber range platform, the experimental results validate the good performance of attack detection accuracy and efficiency.”
查看更多>>摘要：Researchers detail new data in Robotics. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “This study aims to compares the effects of different human-like appearances (low vs. medium vs. high) of service robots (SRs) on consumer trust in service robots (CTSR), examines the mediating role of perceived warmth (WA) and perceived competence (CO) and demonstrates the moderating role of culture and service setting. Design/methodology/approach The research design includes three scenario-based experiments (Chinese hotel setting, American hotel setting, Chinese hospital setting).” Our news editors obtained a quote from the research from Shanghai Normal University, “Study 1 found SR’s human-like appearance can arouse perceived anthropomorphism (PA), which positively affects CTSR through parallel mediators (WA and CO). Study 2 revealed consumers from Chinese (vs. American) culture had higher CTSR. Study 3 showed consumers had higher WA and CO for SRs in the credence (vs. experience) service setting. The authors also had an exploratory analysis of the uncanny valley phenomenon. Practical implications The findings have practical implications for promoting the diffusion of SRs in the hospitality industry. Managers can increase CTSR by augmenting the anthropomorphic design of SRs; however, they must consider the differences in this effect across all service recipients (consumers from different cultures) and service settings.”
查看更多>>摘要：Fresh data on Support Vector Machines are presented in a new report. According to news reporting from Montreal, Canada, by NewsRx journalists, research stated, “The support vector machine (SVM) is a powerful classifier used for binary classification to improve the prediction accuracy. However, the nondifferentiability of the SVM hinge loss function can lead to computational difficulties in high-dimensional settings.” Financial supporters for this research include Fonds de Recherche Quebec-Sante, CGIAR. The news correspondents obtained a quote from the research from the University of Quebec Montreal, “To overcome this problem, we rely on the Bernstein polynomial and propose a new smoothed version of the SVM hinge loss called the Bernstein support vector machine (BernSVC). This extension is suitable for the high dimension regime. As the BernSVC objective loss function is twice differentiable everywhere, we propose two efficient algorithms for computing the solution of the penalized BernSVC. The first algorithm is based on coordinate descent with the maximization-majorization principle and the second algorithm is the iterative reweighted least squares-type algorithm. Under standard assumptions, we derive a cone condition and a restricted strong convexity to establish an upper bound for the weighted lasso BernSVC estimator. By using a local linear approximation, we extend the latter result to the penalized BernSVC with nonconvex penalties SCAD and MCP. Our bound holds with high probability and achieves the so-called fast rate under mild conditions on the design matrix. Simulation studies are considered to illustrate the prediction accuracy of BernSVC relative to its competitors and also to compare the performance of the two algorithms in terms of computational timing and error estimation.”
查看更多>>摘要：Data detailed on Robotics have been presented. According to news originating from Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “This paper is devoted to the event-triggered practical tracking control of a class of uncertain free-flying flexible-joint space robots (FFSRs) under unknown dead-zone input. The remarkable characteristics of the paper are reflected by the coarse information on the reference signal since its time derivatives are not necessarily available for feedback, and moreover, by the serious uncertainties which contain unknown nonlinear dynamics, parameters without known nominal parts, and the external disturbance.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Shandong Province. Our news journalists obtained a quote from the research from Yantai University, “Then, the traditional control schemes on this topic become incapable. For this, a novel event-triggered control scheme is proposed by a skilful use of adaptive technique. Specifically, a dynamic gain with a smart choice of its updating law is incorporated into the vectorial backstepping framework, which not only overcomes the serious uncertainties contained in the system and dead-zone input but also handles the influence of sampling errors. Consequently, two adaptive event-triggered controllers are designed which ensure that all the states of the resulting closed-loop system are bounded while the system output practically tracks the reference signal, along with the exclusion of the Zeno phenomenon.”
查看更多>>摘要：Data detailed on artificial intelligence have been presented. According to news reporting originating from San Luis, Argentina, by NewsRx correspondents, research stated, “This study focused on seismic event detection in a volcano using machine learning by leveraging the advantages of software/hardware co-design for a system on a chip (SoC) based on field-programmable gate array (FPGA) devices.” Our news editors obtained a quote from the research from National University San Luis: “A case study was conducted on the Copahue Volcano, an active stratovolcano located on the border between Argentina and Chile. Volcanic seismic event processing and detection were integrated into a PYNQ-based implementation by using a low-end SoC-FPGA device.”
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Collaborative robots (Cobots) are essential in flexible automation solutions, enabling fast and easy reconfiguration to adapt to varying task requirements in dynamic environments. This requires the ability to safely handle different payloads with varying inertial parameters, which may not be known in advance.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Huazhong University of Science and Technology, “Hence, online identification of the payload’s inertial parameters becomes essential for safe interactions, accurate path following, and stable grasping. Most existing methods require additional sensors, calibration procedures, or custom filtering, which increases the complexity and estimation time. In this letter, we propose a novel online identification method that employs a bagging ensemble machine learning approach to identify the payload inertial parameters without external sensors or additional filtering and calibration steps. The method uses available joint position, velocity, and torque measurements from the Cobot to train neural networks and decision trees as weak learners. The method is tested in simulation and validated using the Franka Emika Panda Cobot.”
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