Academic literature on the topic 'Collaborative mobile robot'

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Journal articles on the topic "Collaborative mobile robot"

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Go, Eutteum, Jun Hyoung Lee, So Yeong Kim, Jong Sup Lee, Hyung Hwan Kim, and Joong Yeon Lim. "Stakeholder Perspectives on Safety Issues in Collaborative Mobile Robots: A Case Study of Quadruped Robot Applications in a Smart Factory." Applied Sciences 14, no. 22 (2024): 10232. http://dx.doi.org/10.3390/app142210232.

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With the development of Industry 4.0, collaborative mobile robots are becoming increasingly prevalent in industrial settings, raising important safety considerations in human–robot interaction environments. This study examines the safety issues in collaborative mobile robotics through a case study of a smart factory utilizing quadruped robots. This research aims to contribute to the development of safety management strategies by identifying potential risk factors and analyzing the differences in risk perception among stakeholders. A survey was conducted among 93 operators in the factory to ide
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Achour, Abdessalem, Hiba Al-Assaad, Yohan Dupuis, and Madeleine El Zaher. "Collaborative Mobile Robotics for Semantic Mapping: A Survey." Applied Sciences 12, no. 20 (2022): 10316. http://dx.doi.org/10.3390/app122010316.

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Ensuring safety in human–robot collaboration is one of the main challenges in mobile robotics today. Semantic maps are a potential solution because they provide semantic knowledge in addition to the geometric representation of the environment. They allow robots to perform their basic tasks using geometric representation, mainly localization, path planning and navigation, and additionally allow them to maintain a cognitive interpretation of the environment in order to reason and make decisions based on the context. The goal of this paper is to briefly review semantic mapping for a single mobile
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Engelbrecht, Duanne, Nico Steyn, and Karim Djouani. "Adaptive Virtual Impedance Control of a Mobile Multi-Robot System." Robotics 10, no. 1 (2021): 19. http://dx.doi.org/10.3390/robotics10010019.

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The capabilities of collaborative robotics have transcended the conventional abilities of decentralised robots as it provides benefits such as scalability, flexibility and robustness. Collaborative robots can operate safely in complex human environments without being restricted by the safety cages or barriers that often accompany them. Collaborative robots can be used for various applications such as machine tending, packaging, process tasks and pick and place. This paper proposes an improvement of the current virtual impedance algorithm by developing an adaptive virtual impedance controlled m
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Bonci, Andrea, Pangcheng David Cen Cheng, Marina Indri, Giacomo Nabissi, and Fiorella Sibona. "Human-Robot Perception in Industrial Environments: A Survey." Sensors 21, no. 5 (2021): 1571. http://dx.doi.org/10.3390/s21051571.

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Perception capability assumes significant importance for human–robot interaction. The forthcoming industrial environments will require a high level of automation to be flexible and adaptive enough to comply with the increasingly faster and low-cost market demands. Autonomous and collaborative robots able to adapt to varying and dynamic conditions of the environment, including the presence of human beings, will have an ever-greater role in this context. However, if the robot is not aware of the human position and intention, a shared workspace between robots and humans may decrease productivity
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Chen, Yue, and Yisong Li. "Storage Location Assignment for Improving Human–Robot Collaborative Order-Picking Efficiency in Robotic Mobile Fulfillment Systems." Sustainability 16, no. 5 (2024): 1742. http://dx.doi.org/10.3390/su16051742.

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The robotic mobile fulfillment (RMF) system is a parts-to-picker warehousing system and a sustainable technology used in human–robot collaborative order picking. Storage location assignment (SLA) tactically benefits order-picking efficiency. Most studies focus on the retrieval efficiency of robots to solve SLA problems. To further consider the crucial role played by human pickers in RMF systems, especially in the context that the sustainable performance of human workers should be paid attention to in human–robot collaboration, we solve the SLA problem by aiming to improve human–robot collabora
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Lin, Huei-Yung, and Yi-Chun Huang. "Collaborative Complete Coverage and Path Planning for Multi-Robot Exploration." Sensors 21, no. 11 (2021): 3709. http://dx.doi.org/10.3390/s21113709.

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In mobile robotics research, the exploration of unknown environments has always been an important topic due to its practical uses in consumer and military applications. One specific interest of recent investigation is the field of complete coverage and path planning (CCPP) techniques for mobile robot navigation. In this paper, we present a collaborative CCPP algorithms for single robot and multi-robot systems. The incremental coverage from the robot movement is maximized by evaluating a new cost function. A goal selection function is then designed to facilitate the collaborative exploration fo
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Yuschenko, A. S., and Yin Shuai. "Dialogue Control of Collaborative Robots Based on Artifi cial Neural Networks." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 11 (2021): 567–76. http://dx.doi.org/10.17587/mau.22.567-576.

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Collaborative robotics progress is based on the possibility to apply robots to the wide range activity of peoples. Now the user can control the robot without any special knowledge in robotics and safe. The price of such possibilities is complication of control system of robot which now has to aquire an opportunity of autonomous behavior under human’s control, using the necessary sensors and elements of artificial intelligence. In our research we suppose the collaborative robot as mobile robotic device possible to fulfil some work under the human’s speech demands not only in the same space with
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Lv, Taizhi, Juan Zhang, and Yong Chen. "A SLAM Algorithm Based on Edge-Cloud Collaborative Computing." Journal of Sensors 2022 (November 12, 2022): 1–17. http://dx.doi.org/10.1155/2022/7213044.

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Simultaneous localization and mapping (SLAM) is a typical computing-intensive task. Based on its own computing power, a mobile robot has difficult meeting the real-time performance and accuracy requirements for the SLAM process at the same time. Benefiting from the rapid growth of the network data transmission rate, cloud computing technology begins to be applied in the robotics. There is the reliability problem caused by solely relying on cloud computing. To compensate for the insufficient airborne capacity, ensure the real-time performance and reliability, and improve the accuracy, a SLAM al
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Chen, Wenzhou, Shizheng Zhou, Zaisheng Pan, Huixian Zheng, and Yong Liu. "Mapless Collaborative Navigation for a Multi-Robot System Based on the Deep Reinforcement Learning." Applied Sciences 9, no. 20 (2019): 4198. http://dx.doi.org/10.3390/app9204198.

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Compared with the single robot system, a multi-robot system has higher efficiency and fault tolerance. The multi-robot system has great potential in some application scenarios, such as the robot search, rescue and escort tasks, and so on. Deep reinforcement learning provides a potential framework for multi-robot formation and collaborative navigation. This paper mainly studies the collaborative formation and navigation of multi-robots by using the deep reinforcement learning algorithm. The proposed method improves the classical Deep Deterministic Policy Gradient (DDPG) to address the single ro
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Abderrahmane, Tamali, Tamali Mohammed, and Amardjia Nourredine. "An adaptive genetic algorithm for the optimization of multi-mobile robot collaboration." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e6270. http://dx.doi.org/10.54021/seesv5n2-064.

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The proposed approach utilizes the Robot Operating System (ROS) to simulate multi-robot collaboration across various scenarios, ensuring rigorous testing and validation of the algorithm. Our simulation environment encompasses complex tasks such as 3D digitalization, which demand precise coordination and efficient resource management among robots. The adaptive genetic algorithm (GA) continuously adjusts its parameters to improve performance, making it highly suitable for dynamic and unpredictable environments. Our results demonstrate that the adaptive GA significantly enhances the efficiency an
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Dissertations / Theses on the topic "Collaborative mobile robot"

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Rasheed, Tahir. "Collaborative Mobile Cable-Driven Parallel Robots." Thesis, Ecole centrale de Nantes, 2019. http://www.theses.fr/2019ECDN0055.

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Cette thèse présente un nouveau concept de robots parallèles à câble mobile (RPCM) comme un nouveau système robotique. RPCM est composé d'un robot parallèle à câble (RPC) classique monté sur plusieurs bases mobiles. Les RPCMs combinent l'autonomie des robots mobiles avec les avantages des RPCs, à savoir un grand espace de travail, un rapport charge utile/poids élevé, une faible inertie de l'effecteur final, une capacité de déploiement et une reconfigurabilité. De plus, les RPCMs présentent une nouvelle innovation technique qui pourrait contribuer à apporter plus de flexibilité et de polyvalenc
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Adámek, Tomáš. "Konstrukce dopravníkové nástavby mobilního robotu MiR." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442861.

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The subject of this diploma thesis is the design of a conveyor superstructure of a collaborative mobile robot MiR. The first part is a theoretical research basis focused on mobile collaborative technologies and information related to Mobile industrial Robots. The following is a practical part built on previous acquired knowledge. The key issue of the solution is the logistics transport of the PCB magazine in the field of SMT industry. There are created two structural design variants of the superstructure arrangement for the transport of two binders and the most suitable variant is selected on
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Da, Silva Filho José Grimaldo. "Towards natural human-robot collaboration during collision avoidance." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM003.

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Ces dernières années, la tendance des robots capables de partager des espaces domestiques ou de travail avec des personnes a connu une croissance importante. Du robot guide à l’aspirateur autonome, ces robots dits "de service" sont de plus en plus intégrés dans la vie quotidienne des profanes.Bien que les progrès des logiciels et du matériel aient permis un comportement plus intelligent et plus autonome des robots, la présence plus répandue des robots parmi les gens pose un nouvel ensemble de défis pour la communauté scientifique. Même si les gens ne sont pas que des obstacles ordinaires, les
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Brind'Amour, Francois. "Navigation sensor for collaborative mobile robots." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26860.

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This thesis presents a possible inexpensive and simple solution for humanitarian demining in developing countries. It consists of a group of mobile robots that can advance and interact collaboratively with each other in a mine field. A base station controls the group and can map their position with the aid of a long range positioning system, thus, identify the landmine position when one is detected by a robot. A short range positioning system is used within the group to measure the distance separating them from one another and the geometry of the formation. A prototype battery powered mobile r
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Biddlestone, Scott Richard. "Collaborative Motion for Mobile Platforms." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357227236.

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Chebab, Zine Elabidine. "Conception et commande collaborative de manipulateurs mobiles modulaires (C3M3)." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC070/document.

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Dans un contexte d’Industrie 4.0, on perçoit de nouveaux usages possibles des manipulateurs mobiles (MMs), des robots généralement obtenus par l’association d’un bras manipulateur et d’une plate-forme mobile. Ce travail de thèse se focalise sur la synthèse et la commande de nouveaux MMs coopératifs en définissant trois défis à relever. Le premier défi concerne l’élargissement des domaines d’utilisation des robots par la possibilité de leur utilisation coopérative. Nous définissons ainsi un système robotique modulaire basé sur l’utilisation d’entités robotiques appelés mono-robots (m-bots). Ceu
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Hichri, Bassem. "Design and control of collaborative, cross and carry mobile robots : C3Bots." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22601/document.

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L'objectif du travail proposé est de concevoir et commander un groupe des robots mobiles similaires et d'architecture simple appelés m-bots (mono-robots). Plusieurs m-bots ont la capacité de saisir ensemble un objet afin d'assurer sa co-manipulation et son transport quelle que soit sa forme et sa masse. Le robot résultant est appelé p-bot (poly-robot) et est capable d'effectuer des tâches de déménageur pour le transport d'objets génériques. La reconfigurabilité du p-bot par l'ajustement du nombre des m-bots utilisés permet de manipuler des objets lourds et des objets de formes quelconques (par
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Alves, Silas Franco dos Reis. "Plataforma de software para técnicas de navegação e colaboração de robôs móveis autônomos." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265320.

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Orientadores: João Maurício Rosário, Humberto Ferasoli Filho<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-19T15:08:00Z (GMT). No. of bitstreams: 1 Alves_SilasFrancodosReis_M.pdf: 3766365 bytes, checksum: dbbe1298b44cd06d13a9d2e56dfe873e (MD5) Previous issue date: 2011<br>Resumo: A navegação e a colaboração são aspectos importantes da robótica móvel. A navegação confere aos robôs móveis as habilidades básicas de interação com o ambiente, os obstáculos e agentes nele situado. Já a colaboração permite que
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Dumont, Emmanuel. "Collaboration entre un humain, un robot et un système ambiant pour l’évaluation de comportements." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2484/document.

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Évaluer un comportement humain c’est évaluer tous les marqueurs traduisant ce comportement (gestes, paroles interactions, etc.). L’observation par un humain de certains marqueurs tels que les expressions faciales, la prosodie ou encore la linguistique, nécessite une formation spécialisée. Pour faciliter l’évaluation du comportement, des échelles indiquant les observations à mener et les conclusions à faire sont employées. Ainsi, automatiser l’évaluation du comportement revient à automatiser l’analyse d’un environnement par le biais de plusieurs capteurs, puis analyser les signaux obtenus afin d
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Baalbaki, Hassan. "Logistique hospitalière à l’aide de robots mobiles reconfigurables." Thesis, Saint-Etienne, EMSE, 2011. http://www.theses.fr/2011EMSE0618/document.

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Ce manuscrit expose notre travail dans le cadre du projet IWARD et détaille la couche de gestion et de décision du groupement de robots. Ce projet avait comme objectif d’assister le personnel médical dans leur travail, ceci est réalisé en utilisant des robots mobiles, reconfigurables, et rechargeables. Ces robots sont conçus pour effectuer des taches logistiques comme : Le transport de médicaments, le nettoyage, le guidage des patients, la surveillance et la téléconsultation. Dans la première partie de la thèse nous présenterons le problème stratégique qui consiste à déterminer les plannings d
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Books on the topic "Collaborative mobile robot"

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Chen, XiaoQi, Y. Q. Chen, and J. G. Chase, eds. Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions. InTech, 2009. http://dx.doi.org/10.5772/120.

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Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions. InTech, 2009.

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Book chapters on the topic "Collaborative mobile robot"

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Lewin, Gustavo Fontes, João Alberto Fabro, Jose Lima, André Schneider de Oliveira, and Ronnier Frates Rohrich. "Collaborative Fuzzy Controlled Obstacle Avoidance in a Vibration-Driven Mobile Robot." In ROBOT2022: Fifth Iberian Robotics Conference. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21065-5_31.

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Pavlichenko, Dmytro, Germán Martín García, Seongyong Koo, and Sven Behnke. "KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics." In Intelligent Autonomous Systems 15. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01370-7_66.

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Franchi, Antonio. "Human-Collaborative Schemes in the Motion Control of Single and Multiple Mobile RobotsMobile robot." In Trends in Control and Decision-Making for Human–Robot Collaboration Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-40533-9_13.

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Wongwatkit, Charoenchai, Pakpoom Prommool, Ratchanon Nobnob, Siwaporn Boonsamuan, and Rodjana Suwan. "A Collaborative STEM Project with Educational Mobile Robot on Escaping the Maze: Prototype Design and Evaluation." In Advances in Web-Based Learning – ICWL 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96565-9_8.

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Guo, Yi, Lynne E. Parker, and Raj Madhavan. "Collaborative Robots for Infrastructure Security Applications." In Mobile Robots: The Evolutionary Approach. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49720-2_9.

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Kluge-Wilkes, Aline, Ralph Baier, Ike Kunze, et al. "Modular Control and Services to Operate Lineless Mobile Assembly Systems." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_13-1.

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AbstractThe increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different level
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Kluge-Wilkes, Aline, Ralph Baier, Ike Kunze, et al. "Modular Control and Services to Operate Lineless Mobile Assembly Systems." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_13-2.

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AbstractThe increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different level
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Kluge-Wilkes, Aline, Ralph Baier, Ike Kunze, et al. "Modular Control and Services to Operate Lineless Mobile Assembly Systems." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_13.

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AbstractThe increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different level
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Bärtschi, Andreas, Jérémie Chalopin, Shantanu Das, et al. "Collaborative Delivery with Energy-Constrained Mobile Robots." In Structural Information and Communication Complexity. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48314-6_17.

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Das, Shantanu, Dariusz Dereniowski, and Christina Karousatou. "Collaborative Exploration by Energy-Constrained Mobile Robots." In Structural Information and Communication Complexity. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25258-2_25.

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Conference papers on the topic "Collaborative mobile robot"

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Lager, Anders, Branko Miloradović, Giacomo Spampinato, Thomas Nolte, and Alessandro V. Papadopoulos. "Risk-Aware Planning of Collaborative Mobile Robot Applications with Uncertain Task Durations." In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE, 2024. http://dx.doi.org/10.1109/ro-man60168.2024.10731449.

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Liu, Haiming, Jiaxiang Luo, Mei Zhang, and An Chen. "Design of Visualization Simulation Software for Collaborative Formation Control of Mobile Robot Cluster." In 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC). IEEE, 2024. https://doi.org/10.1109/icairc64177.2024.10900026.

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Chen, Yunwang, Yaozhong Kang, Ziqi Zhao, Yue Hong, Lingxiao Meng, and Max Q. H. Meng. "Collaborative Fall Detection and Response Using Wi-Fi Sensing and Mobile Companion Robot." In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2024. https://doi.org/10.1109/robio64047.2024.10907570.

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Xindi, ZHANG, MA Yunfeng, HE Jiaolong, and ZHONG Xinxin. "Research on the Collaborative Optimization of Path Planning and Task Allocation for Multi-tote Storage and Retrieval Autonomous Mobile Robot Systems." In The 14th International Conference on Logistics and Systems Engineering. Aussino Academic Publishing House, 2025. https://doi.org/10.52202/078960-0033.

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Watanabe, Yoshito, Ryohei Banno, and Takashi Miki. "Decentralized Mobile Robot Collaboration in Multi-Vendor Contexts: Service Robot Crowdsourcing via Distributed Ledger Technology." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811155.

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Raei, Hamidreza, Juan M. Gandarias, Elena De Momi, Pietro Balatti, and Arash Ajoudani. "A Multipurpose Interface for Close- and Far-Proximity Control of Mobile Collaborative Robots." In 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2024. http://dx.doi.org/10.1109/biorob60516.2024.10719833.

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Miyauchi, Takahiro, Tomohito Takubo, Tatsuo Arai, and Kenichi Ohara. "Collaborative Monitoring Using UFAM and Mobile Robot." In 2007 International Conference on Mechatronics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icma.2007.4303756.

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Rivas-Perea, Pablo, Jose Gerardo Rosiles, Omar Velarde Anaya, Leonardo Valencia Olvera, Luis Humberto Uribe Chavira, and Mario I. Chacon M. "Mobile robot for face recognition: A collaborative environment." In Simulation (HPCS). IEEE, 2009. http://dx.doi.org/10.1109/hpcsim.2009.5192664.

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Tahir, Nazish, and Ramviyas Parasuraman. "Mobile Robot Control and Autonomy Through Collaborative Twin." In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, 2023. http://dx.doi.org/10.1109/percomworkshops56833.2023.10150325.

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Hong, Tsu-Zen, Hsin-Han Chiang, and Yen-Lin Chen. "Design and implementation of human-robot collaborative control for wheeled mobile robots." In 2013 CACS International Automatic Control Conference (CACS). IEEE, 2013. http://dx.doi.org/10.1109/cacs.2013.6734125.

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Reports on the topic "Collaborative mobile robot"

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Ray, Asok. Collaboration of Miniature Multi-Modal Mobile Smart Robots over a Network. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada626480.

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