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第29届中国控制与决策会议

作者： Jianlei Zhang Yuying Zhu Chunyan Zhang Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control EngineeringNankai University

ISBN: (纸本)9781509046584

Variation in learning rates within populations suggests that evolutionary game theory may not necessarily be restricted to uniform time scales associated with the game interaction and strategy adaption evolution. Using agent-based evolutionary simulation in the framework of prisoner's dilemma game, we demonstrate the sustainability of cooperation and the emergence of different macro-effects, when equipping agents with non-uniform time scale preferences. We employ a spatial random regular grid to describe the social interactions among agents. We conclude that the cooperation level has a strong dependence on the population composition, and the suitable fraction of the fast-updating players in the system which is associated with the maximal cooperation frequency has been found out. Besides, the extent of the promotive effect of diversifying time scales is also closely related with the payoff adoption rules in strategy updating,especially when we invent a past history for each agent. Summing up the gained results, a general conclusion can be drawn, saying that the combination of these factors(e.g. time scales and memory) gives rise to rich dynamic behavior of the system.

关键词： Evolutionary Game Theory Complex Networks Evolution Dynamics

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Evolutionary Game Dynamics Driven by Setting a Ceiling in Payoffs of Defectors 36

Evolutionary Game Dynamics Driven by Setting a Ceiling in Pa...

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第36届中国控制会议

作者： ZHANG Jianlei ZHU Yuying CHEN Zengqiang CAO Ming Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control EngineeringNankai University

ISBN: (纸本)9781538629185

The collective cooperation dilemma,where players are involved in a public goods game and must decide whether to make an individual contribution or not,has gained increasing attention from game theorists and control *** from the traditional definition,defectors here will face the payoff restriction after adopting the strategy of free riding others' ***,we introduce payoff ceilings applied to the gained benefits of the defectors,which leads to an extensive public goods game *** the number of cooperators is lower than the threshold value,the current model can be transferred to the setups of the general public goods *** further increasing the number of cooperators will bring the restricted payoffs for *** results suggest that the payoff ceilings provide us with more insight into the resolution of cooperative ***,together with other parameters(e.g.,the amplification factor and the size of gaming population) of the introduced model,lower values of the payoff ceilings can better facilitate the domination of cooperation strategy at the steady state.

关键词： Evolutionary game theory Replicator dynamics Public goods games

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Effect of conducting polymers on nitrogen-doped multiwalled carbon nanotube for the detection of chemical warfare agent simulant

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Microchemical Journal 2025年

作者： Sanjeeb Lama Hyeong Seon Choi Sujina Tamang Sivalingam Ramesh Hee-Chan Jang Young Jun Lee Joo-Hyung Kim Laboratory of Intelligent Devices and Thermal Control Department of Mechanical Engineering Inha University Incheon 22212 South Korea Department of Biological Science and Bioengineering Inha University Incheon 22212 South Korea Department of Mechanical Robotics and Energy Engineering Dongguk University Seoul South Korea

Chemical warfare agents (CWAs) have inflicted significant harm to human lives, from World War I to present-day conflicts, including armed battles, terrorist incidents, and civil wars. To explore the possibility of early detection of CWAs to prevent loss of life, we developed various composite materials for sensing these agents using a hydrothermal process. The surface acoustic wave (SAW) sensor was employed as a detector for dimethyl methyl phosphonate (DMMP), a well-known simulant of the nerve agent sarin. Nitrogen doped multiwalled carbon nanotube (N-MWCNT) was used as a precursor, with polymers such as carboxymethyl cellulose (CMC), polyaniline (PANI), and polypyrrole (PPy) added to enhance sensitivity to DMMP concentrations ranging from 2 to 10 parts per million (ppm). The N-MWCNT@CMC composite demonstrated exceptional performance exhibiting frequency response (Δ f ) of ∼1212 Hz at a concentration of 10 ppm DMMP. The composite materials showed excellent sensitivity to DMMP with minimal effect of potential interferences during selectivity test. Specifically, the N-MWCNT@CMC showed excellent coefficients of determination ( R 2 ) of 0.990, with a limit of detection (LOD) of 1.33 ppm. In the relative humidity test from 30–70 %, the N-MWCNT@CMC exhibited the highest Δ f difference, measuring ∼137 Hz. However, it showed lowest Δ f difference of ∼16 % in temperature tests conducted from 25–75 °C. The Brunauer-Emmett-Teller (BET) results revealed that the addition of CMC to the N-MWCNT increased the pore size (adsorption = 36.9 nm, desorption = 40.0 nm) of the composite, which enhanced its sensitivity to DMMP during both adsorption and desorption. Based on these findings, it can be concluded that synthesized composites show potential as candidates for detecting the nerve agent sarin.

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Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular robotics

arXiv

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arXiv 2025年

作者： Yao, Tianliang Ban, Madaoji Lu, Bo Pei, Zhiqiang Qi, Peng Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Department of Electrical and Electronic Engineering Faculty of Engineering The University of Hong Kong 999077 Hong Kong Robotics and Microsystems Center School of Mechanical and Electric Engineering Soochow University Jiangsu Suzhou China School of Oriental Pan-Vascular Devices Innovation College University of Shanghai for Science and Technology 516 Jungong Road Shanghai200093 China State Key Laboratory of Cardiovascular Diseases Medical Innovation Center Shanghai East Hospital School of Medicine Tongji University Shanghai200092 China

Robotic-assisted percutaneous coronary intervention (PCI) holds considerable promise for elevating precision and safety in cardiovascular procedures. Nevertheless, current systems heavily depend on human operators, resulting in variability and the potential for human error. To tackle these challenges, Sim4EndoR, an innovative reinforcement learning (RL) based simulation environment, is first introduced to bolster task-level autonomy in PCI. This platform offers a comprehensive and risk-free environment for the development, evaluation, and refinement of potential autonomous systems, enhancing data collection efficiency and minimizing the need for costly hardware trials. A notable aspect of the groundbreaking Sim4EndoR is its reward function, which takes into account the anatomical constraints of the vascular environment, utilizing the geometric characteristics of vessels to steer the learning process. By seamlessly integrating advanced physical simulations with neural network-driven policy learning, Sim4EndoR fosters efficient sim-to-real translation, paving the way for safer, more consistent robotic interventions in clinical practice, ultimately improving patient outcomes. © 2025, CC BY.

关键词： Reinforcement learning

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Soft robotics:Morphology and Morphology-inspired Motion Strategy

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IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1500-1522页

作者： Fan Xu Hesheng Wang Department of Automation Institute of Medical RoboticsKey Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China

robotics has aroused huge attention since the *** of the uniqueness that industrial applications exhibit,conventional rigid robots have displayed noticeable limitations,particularly in safe cooperation as well as with environmental ***,scientists have shifted their focus on soft robotics to apply this type of robots more effectively in unstructured *** decades,they have been committed to exploring sub-fields of soft robotics(e.g.,cutting-edge techniques in design and fabrication,accurate modeling,as well as advanced control algorithms).Although scientists have made many different efforts,they share the common goal of enhancing *** presented paper aims to brief the progress of soft robotic research for readers interested in this field,and clarify how an appropriate control algorithm can be produced for soft robots with specific *** paper,instead of enumerating existing modeling or control methods of a certain soft robot prototype,interprets for the relationship between morphology and morphology-dependent motion strategy,attempts to delve into the common issues in a particular class of soft robots,and elucidates a generic solution to enhance their performance.

关键词： Soft continuum manipulator soft gripper soft mobile robot soft robot control method soft robot modeling method soft robotics

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Integration of topological and metric maps for indoor mobile robot path planning and navigation 2nd

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2nd Hellenic Conference on Artificial Intelligence, SETN 2002

作者： Zavlangas, Panagiotis G. Tzafestas, Spyros G. Intelligent Robotics and Automation Laboratory Signals Control and Robotics Division Department of Electrical and Computer Engineering National Technical University of Athens Zografou Athens15773 Greece

ISBN: (纸本)3540434720

Autonomous mobile robots need to use spatial information about the environment in order to effectively plan and execute navigation tasks. The information can be represented at different levels of abstraction, ranging from detailed geometric maps to coarse topological maps. Each level is adequate for some sub-task, but not for others. In this paper, we consider the representation of spatial knowledge at two different levels of abstraction, which are commonly considered in the robotics literature: the geometric level, and the topological level. We propose to represent the environment by local metric maps connected into a topological network. This technique allows us to use maps that are not metrically consistent on the global scale, although they are metrically consistent locally. The structure allows also the combination of abstract global reasoning and precise local geometric computations. Moreover, this structure reflects the typical organization of indoor environments, where rooms and hallways define independent but connected local working spaces. To navigate in the environment, the robot uses the topological information to plan a sequence of sectors to traverse, and uses the metric information in each sector to locally move within the sector and to the next one. The functioning of the proposed system with respect to omnidirectional mobile robots and results of simulated experiments are presented. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Abstracting

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Event-triggered state estimation for T-S fuzzy affine systems based on piecewise Lyapunov-Krasovskii functionals

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control Theory and Technology 2019年第1期17卷 99-111页

作者： Meng WANG Jianbin QIU Gang FENG Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong China State Key Laboratory of Robotics and Systems & Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper investigates the problem of event-triggered H∞state estimation for Takagi-Sugeno (T-S) fuzzy affine systems. The objective is to design an event-triggered scheme and an observer such that the resulting estimation error system is asymptotically stable with a prescribed H∞performance and at the same time unnecessary output measurement transmission can be reduced. First, an event-triggered scheme is proposed to determine whether the sampled measurements should be transmitted or not. The output measurements, which trigger the condition, are supposed to suffer a network-induced time-varying and bounded delay before arriving at the observer. Then, by adopting the input delay method, the estimation error system can be reformulated as a piecewise delay system. Based on the piecewise Lyapunov-Krasovskii functional and the Finsler's lemma, the event-triggered H∞observer design method is developed. Moreover, an algorithm is proposed to co-design the observer gains and the event-triggering parameters to guarantee that the estimation error system is asymptotically stable with a given disturbance attenuation level and the signal transmission rate is reduced as much as possible. Simulation studies are given to show the effectiveness of the proposed method.

关键词： Takagi-Sugeno (T-S) fuzzy affine systems event-triggered scheme, piecewise Lyapunov-Krasovskii functional, state estimation

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Optimal genetic representation of complete strictly-layered feedforward neural networks

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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Raptis, Spyros Tzafestas, Spyros Karagianni, Hermione Intelligent Robotics and Automation Laboratory Division of Signals Control and Robotics Department of Electrical and Electronic Engineering National Technical University of Athens Zographou Campus Athens15773 Greece

ISBN: (纸本)9783540422372

The automatic evolution of neural networks is both an attractive and a rewarding task. The connectivity matrix is the most common way of directly encoding a neural network for the purpose of genetic optimization. However, this representation presents several disadvantages mostly stemming from its inherent redundancy and its lack of robustness. We propose a novel representation scheme for encoding complete strictly-layered feedforward neural networks and prove that it is optimal in the sense that it utilizes the minimum possible number of bits. We argue that this scheme has a number of important advantages over the direct encoding of the connectivity matrix. It does not suffer from the curse of dimensionality, it allows only legal networks to be represented which relieves the genetic algorithm from a number of checking and rejections, and the mapping from the genotypes to phenotypes is one-to-one. Additionally, the resulting networks have a simpler structure assuring an easier learning phase. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Genetic algorithms

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A Position-Force control Approach for an Underwater Vehicle-Manipulator System

A Position-Force Control Approach for an Underwater Vehicle-...

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2023 International Conference on Ocean Studies, ICOS 2023

作者： Kabanov, Aleksey A. Dementiev, Kirill V. Sevastopol State University Department of Informatics and Control in Technical Systems Sevastopol Russia Sevastopol State University Robotics and Intelligent Control System Laboratory Sevastopol Russia

ISBN: (纸本)9798350382457

The paper proposes an approach to position-force control in the underwater vehicle-manipulator systems. There are two different strategies to realize position-force control systems: through a decoupled or coupled controller. The first one is more flexible and is used in the present article as a PID-controllers array. The paper considers the generalized system design methodology applicable to control objects of any kinematic structure. Compensation blocks for manipulator disturbances and calculation of additional end-effector offset to maintain a constant force on the operating point are proposed. The system also utilizes the desired underwater vehicle position calculation based on the relativity of the vehicle position and operating point for a heading set point. The modeling results showed that the system is able to perform qualitatively force operations in a given point of the working space. In addition, the graphs revealed the compensator unit efficiency and confirmed the necessity of the additional offset calculation unit. © 2023 IEEE.

关键词： Manipulators

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Compliant net for AUV retrieval using a UAV

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IFAC-PapersOnLine 2018年第29期51卷 431-437页

作者： Ivanovic, Antun Polic, Marsela Salah, Omar Orsag, Matko Bogdan, Stjepan Laboratory for Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb10 000 Croatia Mechanical Engineering Department Faculty of Engineering Assiut University Assiut Egypt

This paper addresses the problem of retrieving an autonomous underwater vehicle (AUV) with an unmanned aerial vehicle (UAV). The design of the compliant net that naturally adapts to the payload morphology is proposed as a retrieval tool. We constructed the proposed compliant net and conducted experiments with an underwater vehicle model as payload. Furthermore, mathematical model of a system comprised of the UAV and the payload is presented and a mid-ranging controller is utilized for such a system. We also present simulation results and analyze the stability of the UAV with the cable attached payload. © 2018

关键词： Autonomous underwater vehicles Antennas Unmanned aerial vehicles (UAV) Autonomous underwater vehicles (AUV) Marine systems Mechanical design Retrieval tool Soft robotics Underwater vehicles

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