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2024 International Conference on Mechatronic engineering and Artificial Intelligence, MEAI 2024

作者： Zhu, Guolong Li, Bo Xu, Junlei Zhang, Lue Sun, Lining School of Mechanical and Electric Engineering Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University Suzhou215137 China

ISBN: (纸本)9781510689176

In this paper, for the prediction of sound field distribution, a spherical piezoelectric transducer is designed for focused acoustic field according to piezoelectricity equation and vibration analysis. Based on the predicted acoustic fields distribution, the Acoustic Radiation Force(ARF) of the particles with different material and different sizes are obtained, according to a perturbation expansion of the acoustic fields in fluid. Besides, the trapping and micro-manipulation of particles are realized perpendicular to the acoustic axis through experimental according to the predicted ARF. © 2025 SPIE.

关键词： Acoustic fields

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Assistive technologies and the human factor in warehousing: A picking experimental case with active and passive exoskeletons 6

Assistive technologies and the human factor in warehousing: ...

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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Perotti, S. Lazzaroni, M. Ortiz, J. Binda, S.F. Tudisco, V. Department of Management Economics and Industrial Engineering Politecnico di Milano Milan Italy Department of Advanced Robotics Istituto Italiano di Tecnologia Genova Italy

In recent years assistive robotics has shown remarkable potential in the human-technology interface across different industries. Logistics activities, and specifically warehousing processes, are particularly challenging and still highly human-intensive although increasingly supported by automation and digital technologies. While the academic literature has started to focus on the Logistics 5.0 paradigm, still very little empirical data is offered about assistive technologies applied to the warehousing domain. This phenomenon is even more pronounced for equipment for picking, which is traditionally acknowledged as the most costly and complex warehousing activity. This paper aims at addressing this gap by investigating the role of exoskeletons in supporting picking processes and applying it to an experimental case by comparing three different picking scenarios: picking assisted by an advanced robotics technology, i.e., an active exoskeleton, assisted by a passive exoskeleton, and a case without such technology. Benefits and drawbacks are examined and discussed from a socio-technical perspective. © 2024 The Authors.

关键词： Exoskeleton (robotics)

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Framework for monitoring electric vehicle battery second life health and estimating remaining useful life 12

Framework for monitoring electric vehicle battery second lif...

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12th CIRP Global Web Conference, CIRPe 2024

作者： Rajabzadeh, Mohammad Hargaden, Vincent Ghadimi, Pezhman Strnadl, Christoph F. Papakostas, Nikolaos Laboratory for Advanced Manufacturing Simulation and Robotics School of Mechanical & Materials Engineering University College Dublin Belfield Dublin Ireland IOTA Foundation Berlin10437 Germany

The rapid development of electric vehicles has led to the increasingly important role of lithium batteries in the field of performance sources. New technologies make people become more environmentally conscious and switch from buying to controlling electric vehicle life cycles. The mass production of lithium batteries may lead to environmentally friendly transportation. However, traditional lithium battery manufacturers and government policies often focus on the production and recycling phases. The challenges for battery life cycle management and circular economy are increasingly complex and diverse. This paper presents a comprehensive framework for the secondary utilization of lithium batteries by discussing battery aging, monitoring, recycling, secondary use, and lithium battery health prediction. As a result, multiple algorithms were used to evaluate their effectiveness in battery performance prediction. The analysis of the experiments' results revealed the importance of data pre-processing in improving predictive accuracy, the dependence of model selection on data adaptability, and the need for continuous adjustments during the predictive modeling process. © 2025 The Author(s).

关键词： Electric vehicles Lithium batteries Sustainability

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Responsible Innovation 'Bottom Up'? Using Mobile Robots as a Case 6

Responsible Innovation 'Bottom Up'? Using Mobile Robots as a...

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6th Social Robots with AI: Prospects, Risks, and Responsible Methods Robophilosophy, RP 2024

作者： Zawieska, Karolina Kollakidou, Avgi Bodenhagen, Leon Krüger, Norbert Martin, Clionah Bendt, Mads Andersen, Casper School of Culture and Society Aarhus University Denmark Faculty of Engineering University of Southern Denmark Denmark The Danish Institute for Advanced Study Denmark Coalescent Mobile Robotics ApS Denmark Capra Robotics ApS Denmark RGC Management A/S Denmark

ISBN: (纸本)9781643685670

robotics and AI technologies often have been perceived as radically innovative technologies that likely will cause problematic disruptions of society. In particular, ethical concerns about the simulation of high-level human capacities in social robots have engendered calls for various forms of 'top-down' regulation, guided by pre-set values and standards. Working from insights of a case study with mobile robots, we suggest in this discussion paper that we might do better in pursuing responsible innovation bottom-up: Moving among robots with minimal social interaction skills, citizens may practically acquire the technological knowledge that can protect them against anthropomorphizing overinterpretations and inappropriate attachments. We unfold this suggestion in three steps: First, reporting on our case study, we describe the limited role of value considerations among the design goals that currently guide developers and early adopters of mobile robots in the retail industry. Second, based on an observation from an ethnographic pilot study and related HRI research on mobile robots, we derive a proposal for responsible innovation bottom-up, as supervised social experiment and cultural learning. Third, we discuss the proposal, pro and contra. © 2025 IOS Press. All rights reserved.

关键词： Mobile robots

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OPTIMIZING GENETIC PROCESS MINING WITH HEURISTIC AND HONEY BEE APPROACHES FOR ENHANCED INITIAL POPULATION DESIGN AND NEIGHBORHOOD SEARCH

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International Journal of Innovative Computing, Information and Control 2025年第3期21卷 781-790页

作者： Effendi, Yutika Amelia Kim, Minsoo Robotics and Artificial Intelligence Engineering Faculty of Advanced Technology and Multidiscipline Airlangga University Kampus C UNAIR Jl. Dr. Ir. H. Soekarno Mulyorejo Jawa Timur Surabaya60115 Indonesia Department of Industrial and Data Engineering College of Engineering Pukyong National University 45 Yongso-ro Namgu Busan48513 Korea Republic of

Genetic process mining is a method used to identify, monitor, and improve processes by extracting insights from event logs within modern information systems. While traditional Genetic Algorithms (GAs) can mine models with all structural constructs, except for duplicate tasks, and are resilient to noise, their significant computational time remains a major drawback. This study enhances the Honey Bee Genetic Algorithm (HBGA) by incorporating the Heuristic Miner (HM)’s dependency measure, addressing challenges related to random population generation and excessive parameter tuning while accelerating the initial stages of evolution. By leveraging HM for initial population design and HBGA for neighborhood search, the proposed approach reduces the number of fitness function evaluations and computational time without compromising the accuracy of the final process model. Experimental results demonstrate that the proposed method outperforms traditional genetic process mining in terms of execution time and fitness function evaluations, while achieving superior fitness. Consequently, this process mining algorithm offers a more efficient and effective solution for discovering workflow models. © 2025, ICIC International. All rights reserved.

关键词： Dependency relation Genetic process mining Heuristic miner Honey bee algorithm Process discovery Process enhancement Process mining

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Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3108-3118页

作者： Shi, Xueya Peng, Zhinan Yu, Junzhi Li, Hongfei Southwest University College of Electronic and Information Engineering Chongqing400715 China Sichuan Artificial Intelligence Research Institute Yibin644000 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China

This article addresses the problem of designing an attack-resilient adaptive event-triggered (AET) controller for complex dynamical networks (CDNs) under DoS attacks and actuator saturation, with a focus on robust practical stability (RPS). First, considering the impact of DoS attacks on closed-loop systems, an AET controller against DoS attacks is designed. Unlike other event-triggered controllers, the complete timeline is divided, and the AET controller is built with two switching modes based on the intervals of dormant and active periods of DoS attacks in which the system is located. Second, to reconcile AET controller with actuator saturation, a switched system modeling approach is established that explicitly incorporates saturation constraints into the coupled network dynamics. Third, a switched Lyapunov-Krasovskii functional (LKF) is proposed, with which sufficient conditions are provided to ensured the RPS, and a joint design strategy is developed for the desired triggered matrix and feedback gain using linear matrix inequalities (LMIs). Moreover, the results are generalized to the case of actuator faults, indicating that the system is able to achieve RPS with actuator faults. Finally, the proposed method is verified through an example. © 2013 IEEE.

关键词： Lyapunov functions

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Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios With Multiagent Reinforcement Learning

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IEEE Systems Journal 2025年第1期19卷 317-326页

作者： Liu, Weiwei Hu, Wenxuan Jing, Wei Lei, Lanxin Gao, Lingping Liu, Yong Zhejiang University The Advanced Perception on Robotics and Intelligent Learning Lab College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Zhejiang University Zhejiang 310027 China Alibaba DAMO Academy Autonomous Driving Lab Zhejiang 311121 China Huzhou University College of Information Engineering Zhejiang 313000 China

Autonomous vehicles trained through multiagent reinforcement learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can be impacted when faced with diverse driving styles and personalities, particularly in highly interactive situations. This is because conventional MARL algorithms usually operate under the assumption of fully cooperative behavior among all agents and focus on maximizing team rewards during training. To address this issue, we introduce the personality modeling network (PeMN), which includes a cooperation value function and personality parameters to model the varied interactions in high-interactive scenarios. The PeMN also enables the training of a background traffic flow with diverse behaviors, thereby improving the performance and generalization of the ego vehicle. Our extensive experimental studies, which incorporate different personality parameters in high-interactive driving scenarios, demonstrate that the personality parameters effectively model diverse driving styles and that policies trained with PeMN demonstrate better generalization than traditional MARL methods. © 2007-2012 IEEE.

关键词： Reinforcement learning

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Impact of nano fillers on the mechanical and rheological behaviour of polydimethylsiloxane based nanocomposite elastomer

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Ceramics International 2025年第14期51卷 18852-18864页

作者： Mandal, Swaroop Kumar Kumar, Rahul Pradhan, Asisha Ranjan Kumar, Deepak Kumar, Satish Department of Automation and Robotics Dr. DY Patil Institute of Technology Pimpri Pune411018 India Advanced Composite and Smart Material Laboratory Department of Mechanical Engineering National Institute of Technology Jamshedpur 831014 India Department of Mechanical Engineering Parala Maharaja Engineering College Odisha 761003 India Rheology Lab Department of Mechanical Engineering National Institute of Technology Jamshedpur 831014 India

In this work, an advanced elastomer which is reinforced with nanocomposite of reduced graphene oxide and calcium carbonate (rGO/CaCO3) is fabricated. Its mechanical and rheological properties are investigated experimentally. The effect of rGO/CaCO3 nanocomposite was experimentally investigated using Dynamical Mechanical Analysis (DMA), Tensile test and Rheological test. The results indicate improved adhesion and physical strengthening effect between rGO/CaCO3 nanocomposite and the PDMS, that leads towards the decrement of extensional loss factor and hence increment in the extensional storage modulus. Also, the ultimate tensile stress and percentage elongation of the elastomers was found to be increased with increasing wt. % of rGO in CaCO3. It has been observed that 5 % rGO/CaCO3 nanocomposite in PDMS exhibits a higher tensile stress of 0.81 ± 0.040 MPa in comparison to pure PDMS (0.48 ± 0.024 MPa). The bare PDMS material has a maximum force of 12.94 ± 0.647 N, but the 5 % rGO/CaCO3/PDMS nanocomposite can tolerate a maximum force of 22.1 ± 1.105 N. Furthermore, the rheological properties of the material were altered, resulting in an increase in the viscosity of PDMS as the percentage (%) of rGO concentration in the rGO/CaCO3 nanocomposite increased. The presence of CaCO3 increases viscosity, however when 4 % (wt. %) rGO is added to CaCO3, the viscosity decreases compared to other filler concentrations in the elastomers. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Polydimethylsiloxane

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Improving overlapping quality of 316L stainless steel fabricated by multi-laser powder bed fusion through optimizing non-remelting scanning strategy

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Journal of Manufacturing Processes 2025年 145卷 333-345页

作者： Jiang, Renwu Yang, Yongqiang Wang, Han Bai, Yuchao Liu, Linqing Zheng, Zhijun Chen, Jie Yan, Xingchen Yang, Chao Jin, Gang Wang, Di School of Mechanical and Automotive Engineering South China University of Technology Guangzhou510640 China School of Robotics and Advanced Manufacture Harbin Institute of Technology Shenzhen518052 China Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Guangzhou510070 China National Engineering Laboratory for Modern Materials Surface Engineering Technology The Key Lab of Guangdong for Modern Surface Engineering Technology Guangdong Institute of New Materials Guangzhou510651 China

Multi-laser powder bed fusion (ML-PBF) has emerged as a promising solution for achieving large-scale functional parts with high resolution based on powder bed fusion technology, particularly in high-end fields (e.g. aerospace). However, ML-PBF processes are often challenged by issues like poor surface quality, internal defects, and low mechanical properties within the multi-laser overlap region. Therefore, it is necessary to investigate a multi-laser scanning strategy to develop an effective solution for controlling overlap region quality. In this work, two non-remelting scanning strategies, sequential scanning and reverse scanning, with different scanning angles (0°, 45°, 90°) were proposed to improve the ML-PBF quality. The results show that the orthogonal sequential scanning strategy with a scanning angle of 0° resulted in a flatter surface and fewer internal defects in the overlap region. Subsequently, the influence mechanism of overlap region width (ORW) under the above-mentioned scanning strategy on surface morphology, pore defects, microstructure, and mechanical properties was systematically investigated. The sample with an ORW of 1.5 mm displayed the highest ultimate tensile strength of 625.0 MPa and elongation of 36.2 %, which is comparable to the counterparts fabricated by single-laser powder bed fusion with a negligible reduction of ~2.1 % in the tensile strength. Moreover, the fracture occurred away from the overlap region during tensile testing, which means that the suggested non-remelting scanning strategy successfully enhances the quality of the overlap region. Generally, this study provides significant insight into the quality controlling in the overlap region of ML-PBF parts and theoretical guidance for enhancing the ability to fabricate large-scale parts based on powder bed fusion technology. © 2025 The Society of Manufacturing Engineers

关键词： Tensile strength

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Application of generative AI technologies to engineering design

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Procedia CIRP 2025年 132卷 147-152页

作者： Daniel Byrne Vincent Hargaden Nikolaos Papakostas Laboratory for Advanced Manufacturing Simulation and Robotics School of Mechanical and Materials Engineering University College Dublin Ireland I-Form Advanced Manufacturing Research Centre Ireland

This paper explores the application of artificial intelligence (AI) technologies in the engineering design domain. Two experiments were designed for examining the abilities of diverse generative AI platforms in engineering design applications. The first experiment tested the AI models’ abilities to interpret design briefs, perform arithmetic calculations, and finally to provide instructions to design a part in two separate computer-aided design (CAD) platforms, thus gaining an insight into their perception of the functionality of the CAD platforms. The second experiment required the AI tools to design a headphone holder stand from scratch, further assessing their capabilities in CAD, but also their abilities in product design. The experiments found that these technologies show great potential in the area of engineering design. While they are not yet near the level of a human engineer, they currently exhibit capabilities that may be useful in product concept generation and design processes.

关键词： Computer-aided design Machine learning Conceptual design Product development

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