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    New Robotics Findings from Southwest Jiaotong University Outlined (Vision-based Adaptive Lt Sliding Mode Admittance Control for Collaborative Robots With Actuat or Saturation)

    68-68页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news originating from Sichuan, People's Republic of China, by NewsRx correspondents, research stated, "In this paper, we propose a novel v ision-based adaptive leakage-type (LT) sliding mode admittance control for actua tor-constrained collaborative robots to realize the synchronous control of the p recise path following and compliant interaction force. Firstly, we develop a vis ion-admittance-based model to couple the visual feedback and force sensing in th e image feature space so that a reference image feature trajectory can be obtain ed concerning the contact force command and predefined trajectory." Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Sichuan Province.
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    Investigators at School of Mechanical Engineering Report Findings in Machine Lea rning (Dynamic and Stability Comparison Analysis of the High-speed Turbocharger Rotor System With and Without Thrust Bearing Via Machine Learning Schemes)

    69-69页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Machine Learning. According to news reporting from Tamil Nadu, India, by NewsRx journalists, resea rch stated, "To minimize carbon footprints and improve volumetric efficiency and power output, modern internal combustion engine technology employs turbocharger s in automobile and marine engines as well as in several diesel generator sets. During its operation, a minor imbalance or flaw in turbocharger rotors could lea d to the system catastrophic failures." Financial supporters for this research include VIT University, Vellore Institute of Technology, Vellore, Tamil Nadu, India, Universiti Teknologi MARA (UiTM). The news correspondents obtained a quote from the research from the School of Me chanical Engineering, "The two floating ring bearings that support a turbocharge r allow it to operate at high speeds. The exhaust gases impacting the turbine an d the inlet air impacting the compressor cause axial forces in the turbine, resu lting in axial displacements. To balance these two components of axial forces, a thrust bearing is used in the turbocharger. The present work focuses on the com parative study of the turbocharger with and without the thrust bearing. The thru st bearing's pressure distribution is first calculated, and the nonlinear bearin g forces acting on the turbocharger rotor are obtained. The exhaust gas forces a re considered radial direction excitations, while blade passing excitations are taken as axial forces. The critical speeds of the rotor are first estimated usin g the Campbel diagram. An experimental study on an automobile turbocharger rotor is performed to validate the frequencies obtained from the present finite eleme nt model. Further, the system stability with and without thrust bearings at diff erent operating speeds is illustrated. The influence of the thrust bearing locat ion and preload is investigated on the system response. It is found that the thr ust bearing has a significant effect on the system stability at higher speeds."
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    Sapienza University of Rome Reports Findings in Artificial Intelligence (Artific ial intelligence and future perspectives in Forensic Medicine: a systematic revi ew)

    70-70页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Rome, Italy, by N ewsRx journalists, research stated, "Artificial intelligence (AI) is the ability of a computer machine to display human capabilities such as reasoning, learning , planning, and creativity. Such processing technology receives the data (alread y prepared or collected), processes them, using models and algorithms, and answe rs questions about forecasting and decision-making." The news correspondents obtained a quote from the research from the Sapienza Uni versity of Rome, "AI systems are also able to adapt their behavior by analyzing the effects of previous actions and working then autonomously. Artificial intell igence is already present in our lives, even if it often goes unnoticed (shoppin g networked, home automation, vehicles). Even in the medical field, artificial i ntelligence can be used to analyze large amounts of medical data and discover ma tches and patterns to improve diagnosis and prevention. In forensic medicine, th e applications of AI are numerous and are becoming more and more valuable. A sys tematic review was conducted, selecting the articles in one of the most widely u sed electronic databases (PubMed). The research was conducted using the keywords ‘AI forensic' and ‘machine learning forensic'. The research process included ab out 2000 Articles published from 1990 to the present. We have focused on the mos t common fields of use and have been then 6 macro-topics were identified and ana lyzed. Specifically, articles were analyzed concerning the application of AI in forensic pathology (main area), toxicology, radiology, Personal identification, forensic anthropology, and forensic psychiatry."
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    Investigators at Shanghai Jiao Tong University Report Findings in Robotics and A utomation (Bevgm: a Visual Place Recognition Method With Bird's Eye View Graph M atching)

    70-71页
    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 - Ro botics and Automation have been published. According to news reporting originati ng in Shanghai, People's Republic of China, by NewsRx journalists,research stat ed, "Visual place recognition (VPR) is an essential tool in robotics perception and navigation. Though much progress has been made recently, the performance of VPR is far from satisfactory in challenging scenarios, such as large appearance variations, reverse viewpoints, and heterogeneous data."
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    Researchers from University of Naples Federico II Report Findings in Robotics (A Virtual Reality-based Dual-mode Robot Teleoperation Architecture)

    71-72页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting originating from Naples, Italy, by NewsRx corresp ondents, research stated, "This paper proposes a virtual reality-based dual-mode teleoperation architecture to assist human operators in remotely operating robo tic manipulation systems in a safe and flexible way. The architecture, implement ed via a finite state machine, enables the operator to switch between two operat ional modes: the Approach mode, where the operator indirectly controls the robot ic system by specifying its target configuration via the immersive virtual reali ty (VR) interface, and the Telemanip mode, where the operator directly controls the robot end-effector motion via input devices."
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    New Machine Learning Study Findings Have Been Published by a Researcher at Feder al University of Santa Catarina (UFSC) (Machine learning for water demand foreca sting: Case study in a Brazilian coastal city)

    72-73页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting from Santa Catarina, Bra zil, by NewsRx journalists, research stated, "ABSTRACT: Water resources manageme nt is crucial for human well-being and contemporary socio-economic development." Our news reporters obtained a quote from the research from Federal University of Santa Catarina (UFSC): "However, the increasing use of water has led to various problems that affect its quality and availability. To address these issues, acc urate forecasting of water consumption is essential for the optimal operation of water collection, treatment, and distribution systems. This study aims to compa re four machine learning methods for predicting daily urban water demand in a Br azilian coastal tourist city (Guaratuba - Parana). Historical data from the city 's water distribution system, spanning from 2016 to 2019 (1,461 measurements in total), were considered along with meteorological and calendar data to conduct t he investigation. Three time series cross-validation approaches were considered for each method, thus totaling 12 evaluation settings. All models were subjected to hyperparameter optimization and evaluated using appropriate performance metr ics from the literature."
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    Data on Robotics Reported by Researchers at University of Rey Juan Carlos (Open Source Robot Localization for Nonplanar Environments)

    73-74页
    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 reporting originating in Madrid, Spain, by NewsRx jour nalists, research stated, "The operational environments in which a mobile robot executes its missions often exhibit nonflat terrain characteristics, encompassin g outdoor and indoor settings featuring ramps and slopes. In such scenarios, the conventional methodologies employed for localization encounter novel challenges and limitations." Financial supporters for this research include MCIN/AEI/10.13039/501100011033, E uropean Union (EU). The news reporters obtained a quote from the research from the University of Rey Juan Carlos, "This study delineates a localization framework incorporating grou nd elevation and incline considerations, deviating from traditional two-dimensio nal localization paradigms that may falter in such contexts. In our proposed app roach, the map encompasses elevation and spatial occupancy information, employin g Gridmaps and Octomaps. At the same time, the perception model is designed to a ccommodate the robot's inclined orientation and the potential presence of ground as an obstacle, besides usual structural and dynamic obstacles. We provide an i mplementation of our approach fully working with Nav2, ready to replace the base line Adaptative Monte Carlo Localization (AMCL) approach when the robot is in no nplanar environments. Our methodology was rigorously tested in both simulated en vironments and through practical application on actual robots, including the Tia go and Summit XL models, across various settings ranging from indoor and outdoor to flat and uneven terrains. Demonstrating exceptional precision, our approach yielded error margins below 10 cm and 0.05 radians in indoor settings and less t han 1.0 m in extensive outdoor routes. While our results exhibit a slight improv ement over AMCL in indoor environments, the enhancement in performance is signif icantly more pronounced when compared to three-dimensional simultaneous localiza tion and mapping algorithms."
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    Studies from Technical University Munich (TU Munich) Yield New Data on Robotics (A Novel Safety-aware Energy Tank Formulation Based On Control Barrier Functions )

    74-75页
    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 originating from Munich, Germany, by NewsRx cor respondents, research stated, "In this work, we propose a novel formulation for energy tanks based on Control Barrier Functions (CBF). Our approach is able to h andle simultaneously energy constraints to ensure passivity, as well as enforce power limits in the system to enhance safety." Financial support for this research came from European Union (EU). Our news journalists obtained a quote from the research from Technical Universit y Munich (TU Munich), "Furthermore, our approach overcomes the discrete switchin g nature of classical energy tanks, ensuring smooth control commands. To achieve our desiderata, we formulate our tank as a second order dynamical system, where we exploit CBF and Higher-Order CBF to obtain theoretical guarantees on fulfill ing the energy and power constraints in the system. Furthermore, we derive condi tions related to our tank design in order to ensure the passivity of the control led robot."
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    Shanghai Jiao Tong University Reports Findings in Robotics (Voxel Design of Gray scale DLP 3D-Printed Soft Robots)

    75-76页
    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 Shanghai, People's Republic of China, by NewsRx editors, research stated, "Grayscale digital light processing (DLP) printing is a simple yet effective way to realize the variation of materia l properties by tuning the grayscale value. However, there is a lack of availabl e design methods for grayscale DLP 3D-printed structures due to the complexities arising from the voxel-level grayscale distribution, nonlinear material propert ies, and intricate structures." Financial supporters for this research include National Natural Science Foundati on of China, National Key Research and Development Program of China.
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    Reports Summarize Robotics and Automation Study Results from Department of Robot ics (Heterogeneous Risk Management Using a Multi-agent Framework for Supply Chai n Disruption Response)

    76-76页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting out of Ann Arbor, Michigan, by NewsRx editors, research stated, "In the highly complex and stochastic global, supply chain environments, local enterprise agents seek dist ributed and dynamic strategies for agile responses to disruptions. Existing lite rature explores both centralized and distributed approaches, while most work neg lects temporal dynamics and the heterogeneity of the risk management of individu al agents." Financial support for this research came from The United States National Science Foundation. Our news journalists obtained a quote from the research from the Department of R obotics, "To address this gap, this letter presents a heterogeneous risk managem ent mechanism to incorporate uncertainties and risk attitudes into agent communi cation and decision-making strategy. Hence, this approach empowers enterprises t o handle disruptions in stochastic environments in a distributed way, and in par ticular in the context of multi-agent control and management."
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