J. Robotics Mechatronics最新文献_第3页

Modeling and Optimization of an Arc-Shaped Sliding Locomotion Robot with Wobbling Mass 带摆动质量的弧形滑动运动机器人建模与优化

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p1063

Cong Yan, Longchuan Li, Wataru Yanagimoto, Zhicheng Feng, I. Tokuda

引用次数: 0

Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning 利用深度强化学习生成多足机器人群体的集体行为

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0977

Daichi Morimoto, Yukiha Iwamoto, Motoaki Hiraga, K. Ohkura

引用次数: 0

Environmental Mapping of Underwater Structures Based on Remotely Operated Vehicles with Sonar System 基于声纳系统的水下构筑物环境测绘

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p1092

Bochen Ma, Tiancheng Du, T. Miyoshi

引用次数: 0

Autonomous Navigation System for Multi-Quadrotor Coordination and Human Detection in Search and Rescue 多四旋翼协同自主导航系统与搜救中人的探测

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p1084

Jean Dsouza, Rayyan Muhammad Rafikh, Vishnu G. Nair

{"title":"Autonomous Navigation System for Multi-Quadrotor Coordination and Human Detection in Search and Rescue","authors":"Jean Dsouza, Rayyan Muhammad Rafikh, Vishnu G. Nair","doi":"10.20965/jrm.2023.p1084","DOIUrl":"https://doi.org/10.20965/jrm.2023.p1084","url":null,"abstract":"There are many methodologies assisting in the detection and tracking of trapped victims in the context of disaster management. Disaster management in the aftermath of such sudden occurrences requires preparedness in terms of technology, availability, accessibility, perception, training, evaluation, and deployability. This can be achieved through intensive test, evaluation and comparison of different techniques that are alternative to each other, eventually covering each module of the technology used for the search and rescue operation. Intensive research and development by academia and industry have led to an increased robustness of deep learning techniques such as the use of convolutional neural networks, which has resulted in increased reliance of first responders on the unmanned aerial vehicle (UAV) technology equipped with state-of-the-art computers to process real-time sensory information from cameras and other sensors in quest of possibility of life. In this paper, we propose a method to implement simulated detection of life in the sudden onset of disasters with the help of a deep learning model, and simultaneously implement multi-robot coordination between the vehicles with the use of a suitable region-partitioning technique to further expedite the operation. A simulated test platform was developed with parameters resembling real-life disaster environments using the same sensors.","PeriodicalId":178614,"journal":{"name":"J. Robotics Mechatronics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134151531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Honey Bee Waggle Dance as a Model of Swarm Intelligence 蜜蜂摇摆舞作为群体智能的模型

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0901

R. Okada, H. Ikeno, H. Aonuma, M. Sakura, E. Ito

{"title":"Honey Bee Waggle Dance as a Model of Swarm Intelligence","authors":"R. Okada, H. Ikeno, H. Aonuma, M. Sakura, E. Ito","doi":"10.20965/jrm.2023.p0901","DOIUrl":"https://doi.org/10.20965/jrm.2023.p0901","url":null,"abstract":"Honey bees are social insects that form colonies (hives), which often consist of more than 10,000 individuals. In a colony, bees allocate jobs (division of labor) and work cooperatively and intelligently to maintain the colony’s activity, such as nursing broods, cleaning, and guarding against enemies. Among worker bees, only forager bees collect food, and success in finding food directly influences colony survival. For more efficient foraging, honey bees share location information pertaining to profitable food sources through specific behavior called “waggle dances.” During such dances, the direction and distance from the hive to the food source are encoded as body movements. Other foragers follow the dancing bees and receive location information. Some of these bees then fly to the advertised location to find the food source. Some of these “recruited bees” subsequently dance to recruit new bees. This process is then repeated. Consequently, many foragers visit the food source, and a colony can rapidly and flexibly collect large amounts of food even in foraging environment that can suddenly change (e.g., flowers disappear or nectar flux increases/decreases). To achieve effective food collection through the waggle dance, the behavior of both the dancers and followers probably contains information for an implementation of “swarm intelligence.” In this review, we introduce the properties of dance behavior at the levels of dancers, followers, and colonies. We found that errors in waggle dance information play an important role in adaptive foraging in dynamically changing environments.","PeriodicalId":178614,"journal":{"name":"J. Robotics Mechatronics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Analysis of Shepherding-Type Robot Navigation Utilizing Sound-Obstacle-Interaction 基于声障交互的放牧型机器人导航实验分析

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0957

Y. Tsunoda, L. T. Nghia, Yuichiro Sueoka, K. Osuka

{"title":"Experimental Analysis of Shepherding-Type Robot Navigation Utilizing Sound-Obstacle-Interaction","authors":"Y. Tsunoda, L. T. Nghia, Yuichiro Sueoka, K. Osuka","doi":"10.20965/jrm.2023.p0957","DOIUrl":"https://doi.org/10.20965/jrm.2023.p0957","url":null,"abstract":"This study considers a simple robot swarm navigation system based on shepherding in an environment with obstacles. Shepherding is a system in which a small number of control agents (shepherds and sheepdogs) indirectly guide several robots (sheep) by driving them from behind. Previous studies have predominantly focused on verifying proposed controllers based on numerical simulations and navigation experiments in well-prepared environments. However, additional shepherding experiments need to be conducted in environments with obstacles. This study aims to facilitate shepherding-type swarm robot navigation in an environment where a wall obstructs the goal. Usually, a high-end controller design is adopted for the robot to prevent it from getting trapped by obstacles. However, as the environment becomes more complex, the system design may become difficult. In contrast, this study proposes a simple shepherding navigation system based on creating and controlling “fields” to avoid obstacles. This research aims to verify whether the robot can be guided to a goal without obstacle recognition by creating an acoustic field based on the diffraction effects of sound. The proposed method modifies the previous shepherding models for sheep and shepherd robots to make them behave according to the acoustic field gradient. We demonstrate the validity of the proposed system by performing robot navigation for dog and sheep robots.","PeriodicalId":178614,"journal":{"name":"J. Robotics Mechatronics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126681523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Quantitative Analysis of the Coordinated Movement of Cells in a Freely Moving Cell Population 自由运动细胞群中细胞协调运动的定量分析

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0931

Daiki Umetsu, Satoshi Yamaji, Daiki Wakita, Takeshi Kano

{"title":"Quantitative Analysis of the Coordinated Movement of Cells in a Freely Moving Cell Population","authors":"Daiki Umetsu, Satoshi Yamaji, Daiki Wakita, Takeshi Kano","doi":"10.20965/jrm.2023.p0931","DOIUrl":"https://doi.org/10.20965/jrm.2023.p0931","url":null,"abstract":"Coordinated movement of self-propelled agents has been well studied in collectives or swarms that display directional movement. Self-propelled agents also develop stable spatial patterns in which the agents do not necessarily exhibit directional collective movement. However, quantitative measures that are required to analyze the local and temporal coordinated movements during pattern formation processes have not been well established. Here, we study the coordinated movement of individual pairs of two different types of cells in a freely moving cell population. We introduced three criteria to evaluate coordinated movement in live imaging data obtained from the abdomen of the fruit fly, Drosophila melanogaster, at the pupal stage. All three criteria were able to reasonably identify coordinated movement. Our analysis indicates that the combined usage of these criteria can improve the evaluation of whether a pair of cells exhibits coordinated movement or not by excluding false positives. Quantitative approaches to identifying coordinated movement in a population of freely moving agents constitute a key foundational methodology to study pattern formations by self-propelled agents.","PeriodicalId":178614,"journal":{"name":"J. Robotics Mechatronics","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134503292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review of Interdisciplinary Approach to Swarm Intelligence 群体智能的跨学科研究综述

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0890

Takeshi Kano

引用次数: 0

Swarm Behavior of Adult-Born Neurons During Migration in a Non-Permissive Environment 非许可环境下成体神经元迁移过程中的群体行为

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p0896

N. Kaneko, Taisei Ishimaru

{"title":"Swarm Behavior of Adult-Born Neurons During Migration in a Non-Permissive Environment","authors":"N. Kaneko, Taisei Ishimaru","doi":"10.20965/jrm.2023.p0896","DOIUrl":"https://doi.org/10.20965/jrm.2023.p0896","url":null,"abstract":"Much attention has been provided to autonomous decentralized systems based on swarm intelligence algorithms in robotics because of their resistance to component failure and ability to adapt to new environments. During development, various types of collectively migrating cells contribute to tissue and organ formation and have provided useful models for studying swarm behaviors. In the adult brain under physiological conditions, collective cell migration is almost exclusively observed in the rostral migratory stream, where adult-born new neurons travel long distances in contiguous chain-like formation. After ischemic stroke, some new neurons migrate toward the lesion site. Studies show that the promotion of migration is critical for efficient neuronal rewiring in the post-stroke brain in rodents. The new neurons traverse to injured tissues that are not conducive to migration by forming small chains, clearing a path through glial cells, and interacting with blood vessels. Although processes involved in migratory behavior, including cytoskeletal dynamics, intercellular adhesion, and chain formation, have been separately investigated, the mechanisms underlying neuronal swarm behavior are unclear. Future studies should help further our understanding of swarm intelligence and advance the development of novel strategies for controlling neuronal migration to promote efficient functional repair and rewiring in various pathological conditions.","PeriodicalId":178614,"journal":{"name":"J. Robotics Mechatronics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Step Fire Blanket Release Mechanism for Unmanned Aerial Vehicles 无人机两步灭火毯释放机构

J. Robotics Mechatronics Pub Date : 2023-08-20 DOI: 10.20965/jrm.2023.p1053

P. Ratsamee, Thanarat Hanwong, Harn Sison, Kaned Thungod

引用次数: 0