Готові списки джерел за темами / Roombot

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій

Добірка наукової літератури з теми "Roombot"

Автор: Grafiati
Опубліковано: 17 січня 2024

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Статті в журналах з теми "Roombot"

1

Sugiman Sugiman. "PENGARUH KINERJA ROOMBOY TERHADAP KUALITAS PELAYANAN HOUSE KEEPING DEPARTMENT DI HARRIS HOTEL BATAM CENTER." Gemawisata: Jurnal Ilmiah Pariwisata 17, no. 3 (September 20, 2021): 196–209. http://dx.doi.org/10.56910/gemawisata.v17i3.240.

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Tujuan penulisan ini adalah untuk mendeskripsikan “Pengaruh Kinerja Roomboy Terhadap Kualitas Pelayanan Pada Bagian Housekeeping Hotel Harris Batam Center”. Teknik pengumpulan data ini menggunakan wawancara, angket dan observasi. Penulisan ini menggunakan metode deskriptif kualitatif untuk memperoleh informasi terkait kualitas pelayanan Roomboy Hotel Harris Batam Center. Tujuan penulis adalah untuk mengetahui bagaimana kinerja room boy bagian housekeeping terhadap kualitas pelayanan roomboy di Harris Hotel Batam center. Sampel dalam penelitian ini adalah 5 orang yang diambil dari accidental sampling. Dengan menggunakan kuesioner sebagai alat ukur. Berdasarkan hasil yang diperoleh dari kualitas pelayanan roomboy seperti keterampilan kerja mendapatkan nilai 100%, disiplin kerja 94% dan tanggung jawab kerja mendapatkan nilai 95% di Hotel Harris Batam Center dapat dikatakan baik.
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2

Sprowitz, Alexander, Soha Pouya, Stephane Bonardi, Jesse Van Den Kieboom, Rico Mockel, Aude Billard, Pierre Dillenbourg, and Auke Jan Ijspeert. "Roombots: Reconfigurable Robots for Adaptive Furniture." IEEE Computational Intelligence Magazine 5, no. 3 (August 2010): 20–32. http://dx.doi.org/10.1109/mci.2010.937320.

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3

Harahap, Annisa Khairani. "pengaruh kualitas pelayanan roomboy terhadap kepuasan tamu menginap di daima hotel padang." JURNAL PENDIDIKAN DAN KELUARGA 10, no. 1 (December 29, 2018): 68. http://dx.doi.org/10.24036/jpk/vol10-iss1/510.

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Анотація:
Abstract. The purposlof this studylis to findlout how muchlinfluence the service qualitylof roomboy has on guest satisfaction staying at Daima HoteliPadang. Thisltypelof researchiis quantitativeldescriptive research. Theisampling technique usedlwas incidental technique with 97 people as samples. Data collection techniques are carried out by distributing questionnaires using a Likert scale. The resultspshowed that: (1) Roomboy's Service Quality was in the good category (40.21%) (2) Guest Satisfaction Staying at Daima Padang Hotel was in the satisfied category (57.73%), (3) Linear regression hypothesis test results simple obtained F 17,388 with the value of sig.l0,000l<0,05, with a R squarel value ofl0,155. This means that roomboy service quality variables have an effect of 15.5% on guest satisfaction deserving at Daima Hotel Padang and 84.5% influenced by other factors. Key words: Guests Satisfaction, Service Quality, Hotel
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4

Reich, Joshua, Vishal Misra, and Dan Rubenstein. "Roomba MADNeT." ACM SIGMOBILE Mobile Computing and Communications Review 12, no. 1 (January 2008): 68–70. http://dx.doi.org/10.1145/1374512.1374536.

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5

Jones, Willie D. "A Roomba for Rivers." IEEE Spectrum 59, no. 5 (May 2022): 14–15. http://dx.doi.org/10.1109/mspec.2022.9771368.

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6

Ayunaning, Kholidia, Rahmat Dwi Sutrisno, and Avisha Gita Prafitasiwi. "Road Segment Performance Analysis." Kontribusia : Research Dissemination for Community Development 6, no. 2 (August 17, 2023): 171. http://dx.doi.org/10.30587/kontribusia.v6i2.4659.

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Section Jl. Raya Roomo Manyar Gresik is an access for large vehicles to enter and leave the factories around it, not to mention the entry and exit of factory workers during shift changes. With a 2/2UD road, it is not uncommon to make Jl. Raya Roomo Manyar Gresik is one of the congestion centers in the Gresik Regency — evaluation of the performance of the Jl. Raya Roomo Manyar Gresik shows that the Jl. Raya Roomo Manyar Gresik is experiencing saturation obtained from the MKJI 1997 performance analysis method of the road segment, and according to the Ministry of Transportation regulation No.96 of 2015, the Jl. Raya Roomo Manyar Gresik is included in the service level category D with a V/C ratio 0.84.
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Marsh, Allison. "The Proto-Roomba - [Past Forward]." IEEE Spectrum 57, no. 3 (March 2020): 50. http://dx.doi.org/10.1109/mspec.2020.9014460.

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8

Lunati, Montserrat. "The Dolls’ Roomby Llorenç Villalonga." Translation Review 87, no. 1 (September 2, 2013): 112–14. http://dx.doi.org/10.1080/07374836.2013.835142.

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Gross, Jennifer. "Interviewing Roomba: A posthuman study of humans and robot vacuum cleaners." Explorations in Media Ecology 19, no. 3 (September 1, 2020): 285–97. http://dx.doi.org/10.1386/eme_00047_1.

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Анотація:
Roomba, the autonomous robotic vacuum cleaner sold by iRobot since 2002, is now a taken-for-granted household helper in many homes. In this study that cross-cuts phenomenology, postphenomenology, actor–network theory and media ecology, I utilize four heuristics for interviewing digital objects. I interview Roomba and utilize qualitative research methods to theorize about the complexities of the entanglements and relationships between human beings and their robot vacuum cleaners. Conclusions connect to critical theory and feminism and also question justifications of anthropocentrism in a posthuman world.
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Blodgett, Harriet. "FromJacob's Roomto APassage to India:A Note." ANQ: A Quarterly Journal of Short Articles, Notes and Reviews 12, no. 4 (January 1999): 23–24. http://dx.doi.org/10.1080/08957699909598074.

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Дисертації з теми "Roombot"

1

Majed, Aliah. "Sensing-based self-reconfigurable strategies for autonomous modular robotic systems." Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2022. http://www.theses.fr/2022ENTA0013.

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Les systèmes robotiques modulaires (MRS) font aujourd’hui l’objet de recherches très actives. Ils ont la capacité de changer la perspective des systèmes robotiques, passant de machines conçues pour effectuer certaines tâches à des outils polyvalents capables d'accomplir presque toutes les tâches. Ils sont utilisés dans un large éventail d'applications, notamment la reconnaissance, les missions de sauvetage, l'exploration spatiale, les tâches militaires, etc. Constamment, MRS est constitué de "modules" allant de quelques à plusieurs centaines, voire milliers. Chaque module implique des actionneurs, des capteurs, des capacités de calcul et de communication. Habituellement, ces systèmes sont homogènes où tous les modules sont identiques ; cependant, il pourrait y avoir des systèmes hétérogènes contenant différents modules pour maximiser la polyvalence. L’un des avantages de ces systèmes est leur capacité à fonctionner dans des environnements difficiles dans lesquels les schémas de travail contemporains avec intervention humaine sont risqués, inefficaces et parfois irréalisables. Dans cette thèse, nous nous intéressons à la robotique modulaire auto-reconfigurable. Dans de tels systèmes, il utilise un ensemble de détecteurs afin de détecter en permanence son environnement, de localiser sa propre position, puis de se transformer en une forme spécifique pour effectuer les tâches requises. Par conséquent, MRS est confronté à trois défis majeurs. Premièrement, il offre une grande quantité de données collectées qui surchargent la mémoire de stockage du robot. Deuxièmement, cela génère des données redondantes qui compliquent la prise de décision concernant la prochaine morphologie du contrôleur. Troisièmement, le processus d'auto-reconfiguration nécessite une communication massive entre les modules pour atteindre la morphologie cible et prend un temps de traitement important pour auto-reconfigurer le robot. Par conséquent, les stratégies des chercheurs visent souvent à minimiser la quantité de données collectées par les modules sans perte considérable de fidélité. Le but de cette réduction est d'abord d'économiser de l'espace de stockage dans le MRS, puis de faciliter l'analyse des données et la prise de décision sur la morphologie à utiliser ensuite afin de s'adapter aux nouvelles circonstances et d'effectuer de nouvelles tâches. Dans cette thèse, nous proposons un mécanisme efficace de traitement de données et de prise de décision auto-reconfigurable dédié aux systèmes robotiques modulaires. Plus spécifiquement, nous nous concentrons sur la réduction du stockage de données, la prise de décision d'auto-reconfiguration et la gestion efficace des communications entre les modules des MRS dans le but principal d'assurer un processus d'auto-reconfiguration rapide
Modular robotic systems (MRSs) have become a highly active research today. It has the ability to change the perspective of robotic systems from machines designed to do certain tasks to multipurpose tools capable of accomplishing almost any task. They are used in a wide range of applications, including reconnaissance, rescue missions, space exploration, military task, etc. Constantly, MRS is built of “modules” from a few to several hundreds or even thousands. Each module involves actuators, sensors, computational, and communicational capabilities. Usually, these systems are homogeneous where all the modules are identical; however, there could be heterogeneous systems that contain different modules to maximize versatility. One of the advantages of these systems is their ability to operate in harsh environments in which contemporary human-in-the-loop working schemes are risky, inefficient and sometimes infeasible. In this thesis, we are interested in self-reconfigurable modular robotics. In such systems, it uses a set of detectors in order to continuously sense its surroundings, locate its own position, and then transform to a specific shape to perform the required tasks. Consequently, MRS faces three major challenges. First, it offers a great amount of collected data that overloads the memory storage of the robot. Second it generates redundant data which complicates the decision making about the next morphology in the controller. Third, the self reconfiguration process necessitates massive communication between the modules to reach the target morphology and takes a significant processing time to self-reconfigure the robotic. Therefore, researchers’ strategies are often targeted to minimize the amount of data collected by the modules without considerable loss in fidelity. The goal of this reduction is first to save the storage space in the MRS, and then to facilitate analyzing data and making decision about what morphology to use next in order to adapt to new circumstances and perform new tasks. In this thesis, we propose an efficient mechanism for data processing and self-reconfigurable decision-making dedicated to modular robotic systems. More specifically, we focus on data storage reduction, self-reconfiguration decision-making, and efficient communication management between modules in MRSs with the main goal of ensuring fast self-reconfiguration process
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2

Abbott-McCune, Donald Samuel. "Repurposing a Roomba: Evaluating and training behavior in a simple agent." VCU Scholars Compass, 2007. http://scholarscompass.vcu.edu/etd/1077.

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Анотація:
Recent attempts to reprogram a Roomba to be used as a simple agent have led to interesting behavior. Observation has shown that the behavior of the Roomba is not only dependent on the precepts of the Roomba, but also relies heavily on the uncontrollable environmental conditions that the Roomba is placed in. Ultimately this makes the Roomba a great platform to test and teach aspects of artificial intelligence. This paper will show how most of the tested environmental conditions are mitigated by a learning agent that will adjust behavior dependent on the precepts that are received.
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3

Kovařík, Viktor. "IoT systém pro domácnost." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417285.

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Анотація:
The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.
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4

Liao, Ke-Wei, and 廖科維. "On Multi-Robot Collaboration: Using Arduino-based Roomba as an Example." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/kjvwhu.

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Анотація:
碩士
國立中央大學
資訊工程學系
104
In this thesis, we address the issue of multi-robot collaboration. As a specific example, we consider the collaboration of multiple robots to clean (i.e., cover) a given area. The proposed work consists of task initialization, task execution, and task re-assignment (i.e., auction). An Arduino based autonomous car prototype was designed to implement our proposed collaboration system and an Andriod smartphone was installed on the car to log the traces and exchange signals between cars to enable the collaboration. The experiment results in different scenarios show that, while the actual execution time is longer than the ideal one, more cars in collaboration finish the task faster.
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5

Gorea, Michelle. "The ‘fluidity’ of beings portrayed through human-robot interaction: an analysis of human-to-Roomba robot relations." 2014. http://hdl.handle.net/1993/24046.

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Based on my analysis, I found that there are a variety of ways in which individuals interact with and emotionally engage with their Roomba iRobots, via participation in a brand community or through forms of anthropomorphism such as treating it as a pet or human. I explain that there is a spectrum regarding the extent to which individuals anthropomorphize their Roomba and emotionally engage with the device. The thesis concludes with the finding that some individuals emotionally engage with their Roomba in a significant way, while others desire a disconnection from their device. I end with the suggestion that sociologists continue to consider the implications of people’s increasing interactions with technological objects and further investigate different areas of human-robot emotional connection.
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Книги з теми "Roombot"

1

Noordervliet, Nelleke. Altijd roomboter. Amsterdam: Augustus, 2005.

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2

Kurt, Tod E. Hacking Roomba. Indianapolis, IN: Wiley Pub., 2007.

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3

Vroman, Leo. De roomborst van Klaas Vaak. Amsterdam: Querido, 1997.

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4

Lisa, Nocks, ed. Robotics: From automatons to the Roomba. Minneapolis, Minn: ABDO Publishing Company, 2015.

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5

Torrance, Bob. Roomat the top: Golf the Torrance way. Edinburgh: Mainstream, 1989.

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6

Petrokimia, Gresik PT. Analisis dampak lingkungan (ANDAL): Proyek perluasan pabrik pupuk fosfat NPK II di Desa Roomo, Kecamatan Manyar, Kabupaten Gresik. Gresik: Petrokimia Gresik, 2000.

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7

Manson and Woods Ltd Christie. British and Irish traditionalist and modernist paintings, watercolours, drawings and sculpture, which will be sold at Christie's Great Roomson Thursday 3 March 1988 ... (and) Friday 4 March 1988 ... . London: Christie,Manson & Woods Ltd, 1988.

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8

Prener, Nan. Roomba Boogie. Independently Published, 2018.

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9

Hacking Roomba: ExtremeTech. Wiley, 2007.

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10

Kurt, Tod E. Hacking Roomba: ExtremeTech. Wiley & Sons, Incorporated, John, 2007.

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Частини книг з теми "Roombot"

1

Assaf, Ahmad, Raphaël Troncy, and Aline Senart. "Roomba: An Extensible Framework to Validate and Build Dataset Profiles." In The Semantic Web: ESWC 2015 Satellite Events, 325–39. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25639-9_46.

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2

Berque, Dave, Hiroko Chiba, and Benjamin Wilkerson. "Design and Cross-cultural Evaluation of a Kawaii (Cute) Roomba Vacuum." In Culture and Computing, 475–90. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34732-0_37.

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3

Strengers, Yolande. "Robots and Roomba Riders: Non-human Performers in Theories of Social Practice." In Social Practices and Dynamic Non-Humans, 215–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92189-1_11.

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4

Sugano, Shohei, Yutaka Miyaji, and Ken Tomiyama. "Study of Kawaii-ness in Motion – Physical Properties of Kawaii Motion of Roomba." In Human-Computer Interaction. Human-Centred Design Approaches, Methods, Tools, and Environments, 620–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39232-0_67.

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5

"roomlet, n." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/2437175167.

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6

Feynman, Richard. "There’s Plenty of Roomat the Bottom." In Handbook of Nanoscience, Engineering, and Technology, Second Edition, 1–1. CRC Press, 2007. http://dx.doi.org/10.1201/9781420007848.sec1.

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"NEWS. ROOM.TO MOVE / EIN ERWARTUNGSBERICHT A REPORT ON EXPECTATIONS." In Styria Media Center Graz, 8–11. Birkhäuser, 2015. http://dx.doi.org/10.1515/9783035605518-003.

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Gessmann, R. P. "A virtual roombook as an internet based building data repository." In eWork and eBusiness in Architecture, Engineering and Construction, 267–70. CRC Press, 2020. http://dx.doi.org/10.1201/9781003060819-42.

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"Study on Kawaii in motion - Classifying Kawaii motion using Roomba." In Advances in Affective and Pleasurable Design, 123–32. CRC Press, 2012. http://dx.doi.org/10.1201/b12525-16.

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Vangaveti, Yugandhar, Nageswara Rao Iragaraju, and Nagaraju Podila. "Data Driven Computing and Intelligent Systems: Applications and Advances." In Data Science and Intelligent Computing Techniques, 493–97. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-45.

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Анотація:
Data driven computing and intelligent systems are the order of the day. Data-Driven Computing uses the given data to directly produce predictive outcomes. According to data-driven computing, calculations are carried out directly from experimental material data and related constraints and laws of conservation, such as equilibrium and compatibility, thus bypassing the empirical material modelling step of conventional computing completely. Data-driven solvers seek to assign to each material point the state from a pre-specified data set that is nearest to satisfying the laws of conservation. Intelligent systems are technologically advanced machines that perceive and respond to the world around them. They can take many forms, from automated vacuums such as the Roomba to facial recognition programs to Amazon’s personalised shopping suggestions. The field of intelligent systems also focuses on how these intelligent systems interact with end users in the dynamic social and physical environments. Early robots possessed a little autonomy in making decisions. They assumed a predictable world and performed the same actions repeatedly under the similar conditions. Today, a robot is considered to be an autonomous system that can sense the environment and can act in a physical world in order to achieve a set of goals. Data driven computing and intelligent systems both help the mankind in various applications such as good governance, smart cities etc. This study highlights the nature, scope, applications and advances in the data driven computing and intelligent systems.
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Тези доповідей конференцій з теми "Roombot"

1

Ozgur, Ayberk, Stephane Bonardi, Massimo Vespignani, Rico Mockel, and Auke J. Ijspeert. "Natural user interface for Roombots." In 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2014. http://dx.doi.org/10.1109/roman.2014.6926223.

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Assaf, Ahmad, Aline Senart, and Raphaël Troncy. "Roomba." In WWW '15: 24th International World Wide Web Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2740908.2742827.

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3

Sung, JaYoung, Rebecca E. Grinter, and Henrik I. Christensen. ""Pimp My Roomba"." In the SIGCHI Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1518701.1518732.

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Pierce, James. "Roomba+Clips Cam." In DIS '20: Designing Interactive Systems Conference 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3393914.3395816.

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Rea, Daniel J., James E. Young, and Pourang Irani. "The Roomba mood ring." In the seventh annual ACM/IEEE international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157689.2157763.

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Moeckel, Rico, Yura N. Perov, Anh The Nguyen, Massimo Vespignani, Stephane Bonardi, Soha Pouya, Alexander Sproewitz, Jesse van den Kieboom, Frederic Wilhelm, and Auke Jan Ijspeert. "Gait optimization for roombots modular robots — Matching simulation and reality." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6696820.

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Sproewitz, A., P. Laprade, Stéphane Bonardi, Mikaël Mayer, R. Moeckel, Pierre-André Mudry, and A. J. Ijspeert. "Roombots—Towards decentralized reconfiguration with self-reconfiguring modular robotic metamodules." In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iros.2010.5649504.

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Sproewitz, Alexander, Aude Billard, Pierre Dillenbourg, and Auke Jan Ijspeert. "Roombots-mechanical design of self-reconfiguring modular robots for adaptive furniture." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152613.

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Lee, Chen-Yu, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich. "RoomNet: End-to-End Room Layout Estimation." In 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, 2017. http://dx.doi.org/10.1109/iccv.2017.521.

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Bonardi, Stephane, Massimo Vespignani, Rico Moeckel, and Auke Jan Ijspeert. "Collaborative manipulation and transport of passive pieces using the self-reconfigurable modular robots roombots." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6696694.

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