Academic literature on the topic 'Humanoid Robots'
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Journal articles on the topic "Humanoid Robots"
Mogos, E. "The fuzzy-based systems in the communication between a human and a humanoid robot." Journal of Physics: Conference Series 2251, no. 1 (April 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2251/1/012003.
Full textHirose, Masato, Toru Takenaka, Hiroshi Gomi, and Nobuaki Ozawa. "Humanoid Robots. HUMANOID ROBOT." Journal of the Robotics Society of Japan 15, no. 7 (1997): 983–85. http://dx.doi.org/10.7210/jrsj.15.983.
Full textMATSUMURA, REO, and HIROSHI ISHIGURO. "DEVELOPMENT OF A HIGH-PERFORMANCE HUMANOID SOCCER ROBOT." International Journal of Humanoid Robotics 05, no. 03 (September 2008): 353–73. http://dx.doi.org/10.1142/s0219843608001467.
Full textMunir, Safa, Kashaf Khan, Dr Naeem Aslam, Kamran Abid, and Mustajib-ur Rehman. "Humanoid Robots: Cybersecurity Concerns And Firewall Implementation." VFAST Transactions on Software Engineering 11, no. 1 (March 31, 2023): 85–100. http://dx.doi.org/10.21015/vtcs.v11i1.1454.
Full textHuang, Lixiao, Daniel McDonald, and Douglas Gillan. "Exploration of Human Reactions to a Humanoid Robot in Public STEM Education." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1262–66. http://dx.doi.org/10.1177/1541931213601796.
Full textNugraha, A. C., M. L. Hakim, S. Yatmono, and M. Khairudin. "Development of Ball Detection System with YOLOv3 in a Humanoid Soccer Robot." Journal of Physics: Conference Series 2111, no. 1 (November 1, 2021): 012055. http://dx.doi.org/10.1088/1742-6596/2111/1/012055.
Full textPawar, Shweta Madhukar. "Humanoid Robotics." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4128–30. http://dx.doi.org/10.22214/ijraset.2021.35918.
Full textPon Bharathi, A., M. Ramachandran, Ramu Kurinjimalar, and Sriram Soniya. "An Investigation on Humanoid Robots with Biped Locomotion and Walking." Design, Modelling and Fabrication of Advanced Robots 1, no. 1 (April 1, 2022): 55–61. http://dx.doi.org/10.46632/dmfar/1/1/9.
Full textJung, Sungwook, Sung Hee Ahn, Jiwoong Ha, and Sangwoo Bahn. "A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid Robots." International Journal of Environmental Research and Public Health 19, no. 17 (September 2, 2022): 10988. http://dx.doi.org/10.3390/ijerph191710988.
Full textMinh Trieu, Nguyen, and Nguyen Truong Thinh. "A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot." Journal of Robotics 2023 (May 19, 2023): 1–16. http://dx.doi.org/10.1155/2023/5589845.
Full textDissertations / Theses on the topic "Humanoid Robots"
Che, Da. "Toward Humanoid Choreography and Dance." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337187519.
Full textNakhaei, Alireza. "Motion planning and perception : integration on humanoid robots." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT043H/document.
Full textThis thesis starts by proposing a new framework for motion planning using stochastic maps, such as occupancy-grid maps. In autonomous robotics applications, the robot's map of the environment is typically constructed online, using techniques from SLAM. These methods can construct a dense map of the environment, or a sparse map that contains a set of identifiable landmarks. In this situation, path planning would be performed using the dense map, and the path would be executed in a sensor-based fashion, using feedback control to track the reference path based on sensor information regarding landmark position. Maximum-likelihood estimation techniques are used to model the sensing process as well as to estimate the most likely nominal path that will be followed by the robot during execution of the plan. The proposed approach is potentially a practical way to plan under the specific sorts of uncertainty confronted by a humanoid robot. The next chapter, presents methods for constructing free paths in dynamic environments. The chapter begins with a comprehensive review of past methods, ranging from modifying sampling-based methods for the dynamic obstacle problem, to methods that were specifically designed for this problem. The thesis proposes to adapt a method reported originally by Leven et al.. so that it can be used to plan paths for humanoid robots in dynamic environments. The basic idea of this method is to construct a mapping from voxels in a discretized representation of the workspace to vertices and arcs in a configuration space network built using sampling-based planning methods. When an obstacle intersects a voxel in the workspace, the corresponding nodes and arcs in the configuration space roadmap are marked as invalid. The part of the network that remains comprises the set of valid candidate paths. The specific approach described here extends previous work by imposing a two-level hierarchical structure on the representation of the workspace. The methods described in Chapters 2 and 3 essentially deal with low-dimensional problems (e.g., moving a bounding box). The reduction in dimensionality is essential, since the path planning problem confronted in these chapters is complicated by uncertainty and dynamic obstacles, respectively. Chapter 4 addresses the problem of planning the full motion of a humanoid robot (whole-body task planning). The approach presented here is essentially a four-step approach. First, multiple viable goal configurations are generated using a local task solver, and these are used in a classical path planning approach with one initial condition and multiple goals. This classical problem is solved using an RRT-based method. Once a path is found, optimization methods are applied to the goal posture. Finally, classic path optimization algorithms are applied to the solution path and posture optimization. The fifth chapter describes algorithms for building a representation of the environment using stereo vision as the sensing modality. Such algorithms are necessary components of the autonomous system proposed in the first chapter of the thesis. A simple occupancy-grid based method is proposed, in which each voxel in the grid is assigned a number indicating the probability that it is occupied. The representation is updated during execution based on values received from the sensing system. The sensor model used is a simple Gaussian observation model in which measured distance is assumed to be true distance plus additive Gaussian noise. Sequential Bayes updating is then used to incrementally update occupancy values as new measurements are received. Finally, chapter 6 provides some details about the overall system architecture, and in particular, about those components of the architecture that have been taken from existing software (and therefore, do not themselves represent contributions of the thesis). Several software systems are described, including GIK, WorldModelGrid3D, HppDynamicObstacle, and GenoM
Sobrinho, Carlos Eduardo dos Reis Rodrigues. "Sensor fusion in humanoid robots." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/11052.
Full textA fus~ao sensorial combina pe cas de informa c~ao proveniente de diferentes fontes/sensores de modo a obter informa c~ao global mais precisa quando comparada com sistemas que apenas dependem de fontes/sensores. Diferentes m etodos de fus~ao sensorial t^em sido desenvolvidos de forma a optimizar a resposta geral dos sistemas. Resultados nais, como a unidade inercial que funde duas fam lias diferentes de sensores para dar uma estimativa mais precisa/melhor dos dados sensoriais ou a auto-localiza c~ao do robot que deve ser capaz de avaliar a sua pr opria posi c~ao e consequentemente a posi c~ao dos membros da sua equipa s~ao exemplos da fus~ao sensorial. Esta tese ir a descrever detalhadamente, desde a fase de algoritmo at e a implementa c~ao juntamente com algumas bases matem aticas necess arias para a compreens~ao dos conceitos introduzidos, todo o trabalho desenvolvido para a equipa portuguesa que serviu para tornar o objectivo proposto em realidade: participar pela primeira vez na categoria Standard Platform League no RoboCup 2012.
The technology of sensor fusion combines pieces of information coming from di erent sources/sensors, resulting in an enhanced overall information accuracy when compared with systems that rely only on sources/sensors. Di erent sensor fusion methods have been developed in order to optimize the overall system output. End results like the inertial unit that fuses two di erent sensor families to give a more accurate/better estimate of the sensory data or the self-localization of the robot that should be able to evaluate its position and consequently its team members position. A walk-through, from the algorithm phase to the implementation, will be given in this thesis along with some mathematical background necessary to comprehend the concepts introduced and description of the auxiliary tools that were built for the Portuguese Team to help accomplish the objective: First presence in the Standard Platform League in the RoboCup 2012.
Mendonça, José Lucas Lemos. "Behaviours for simulated humanoid robots." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14699.
Full textThis thesis in inserted in the FC Portugal 3D team, which competes in the humanoid simulation league 3D from RoboCup. The objectives of this thesis are to improve the behaviours already created and to develop tools to support the development and debugging of the robotic agent. With this in mind, the process of optimization was improved to make it more efficient and adapted to include the new heterogeneous models. Executing the optimization process, using the state of the art algorithm CMA-ES, the time of the getup was reduced by half. Afterwards, the agent was put running in sync mode, which allows the simulations to run as fast as the computer in use can process, and not the simulation speed of the competion with cycles of 20ms. In the agent posture, it is now used the information from the gyroscope and the euler angles are calculated to get a better estimative of the robot orientation. On the other hand, the agent architecture was updated and new behaviours were created and optimized to support the new heterogeneous models. In relation to the standard model, some behaviours execute faster because of their physical difference. In the slot behaviours, it is now possible to defined preconditions in each step, so the agent can abort the behaviour when any condition does not comply. This change reduces the time wasted executing all the behaviour in situations in which the success is improbable. In terms of tools, a Agent Monitor Window was created for each agent which can: present in runtime variables from the agent code; interact with the code trough widgets; and if the simulation is in sync mode, defined the simulation cycle time, with the possibility to pause it and execute step by step, which gives a great advantage in terms of analysing the agent execution. The second tool was a behaviour testes for behaviours defined in XML, which allows, in runtime, to change the behaviour to test, edit its content, aggregate different files in sequence and finally the tolls can execute various agents in parallel. The last tools is Log Analyser of the logs generated by the agents and the server, which allows: exporting in different formats, see in form of plots the variables parsed, filtrate the simulation information; and create a server simulation which can be used to analyse, in parallel, the plots of chosen variables and the simulation in a monitor.
Esta tese está inserida na equipa FC Portugal 3D, que compete na liga de futebol robótico simulado 3D. Os objetivos da tese são melhorar os comportamentos já existentes e desenvolver ferramentas de suporte ao desenvolvimento e depuração para o agente robótico. Nesse sentido, foi melhorado o processo de optimização de comportamentos de forma a torná-lo mais eficiente e adaptado para incluir os novos modelos heterogéneos disponibilizados. Ao executar o processo de optimização, usando o algoritmo de estado de arte CMA-ES, foi obtido reduções para metade do tempo nos comportamentos de levantar-se. Seguidamente o agente foi colocado a correr em modo síncrono, o que permite que as simulações corram à velocidade de processamento do computador em uso, e não à velocidade da simulação da competição em que cada ciclo demora 20ms. Assim é possível executar simulações e consequentemente inferir conclusões muito mais rapidamente. Passou-se a usar a informação de giroscópio e o cálculo dos ângulos de euler para obter uma melhor estimativa da rotação do robô. Por outro lado, devido ao lançamento de novos tipos de robôs, a arquitectura do agente teve de ser atualizada e novos comportamentos foram criados e optimizados para estes novos modelos. Em relação ao modelo original, alguns comportamentos são executados mais rapidamente e melhor pelos modelos novos, devido às suas alterações físicas. Por fim, nos comportamentos foi dada a possibilidade de definir pré condições em etapa do mesmo, para que possa ser abortado caso as condições não se verifiquem. Esta alteração veio reduzir o tempo desperdiçado a executar a totalidade do comportamento em situações em que não é provável o seu sucesso . Em termos de ferramentas, foi colocada uma Janela de Monitor de Agente para cada agente que, apresenta em tempo de simulação variáveis que o código do agente disponibiliza, interage com código através de widgets de seleção ou preenchimento, e se a simulação estiver a correr em modo síncrono, permite definir o tempo de ciclo da simulação, pausá-la e executar ciclo a ciclo, o que permite vantagens óbvias em termos de análise de execução dos agentes. Seguidamente, foi criada uma ferramenta de teste para comportamentos definidos em XML, que permite, em tempo de execução, alterar o ficheiro a testar, alterar o seu conteúdo, agrupar vários ficheiros em sequências e executar vários agentes em paralelo. Por fim, a última ferramenta é um Analizador de Logs gerados pelos agentes e pelo simulador que permite, entre outras funcionalidades, ver em forma de gráficos variáveis da simulação, exportar para diferentes formatos, filtrar a simulação usando informação da mesma e correr um servidor de forma a ser possível analizar em paralelo, gráficos de variáveis escolhidas e a simulação num visualizador.
Tay, Junyun. "Autonomous Animation of Humanoid Robots." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/838.
Full textSeepanomwan, Kristsana. "Mental imagery in humanoid robots." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/4581.
Full textPretto, Alberto. "Visual-SLAM for Humanoid Robots." Doctoral thesis, Università degli studi di Padova, 2009. http://hdl.handle.net/11577/3426516.
Full textNell’ambito della robotica, il Simultaneous Localization and Mapping (SLAM) é il processo grazie al quale un robot autonomo é in grado di creare una mappa dell’ambiente circostante e allo stesso tempo di localizzarsi avvalendosi di tale mappa. Negli ultimi anni un considerevole numero di ricercatori ha sviluppato nuove famiglie di algoritmi di SLAM, basati su vari sensori e utilizzando varie piattaforme robotiche. Uno degli ambiti più complessi nella ricerca sullo SLAM é il cosiddetto Visual-SLAM, che prevede l’utilizzo di vari tipi di telecamera come sensore per la navigazione. Le telecamere sono sensori economici che raccolgono molte informazioni sull’ambiente circostante. D’altro canto, la complessità degli algoritmi di visione artificiale e la forte dipendenza degli approcci attualmente realizzati dalle caratteristiche dell’ambiente, rendono il Visual-SLAM un problema lontano dal poter essere considerato risolto. Molti degli algoritmi di SLAM sono solitamente testati usando robot dotati di ruote. Sebbene tali piattaforme siano ormai robuste e stabili, la ricerca sulla progettazione di nuove piattaforme robotiche sta in parte migrando verso la robotica umanoide. Proprio come gli esseri umani, i robot umanoidi sono in grado di adattarsi ai cambiamenti dell’ambiente per raggiungere efficacemente i propri obiettivi. Nonostante ciò, solo pochi ricercatori hanno focalizzato i loro sforzi su implementazioni stabili di algoritmi di SLAM e Visual-SLAM adatti ai robot umanoidi. Tali piattaforme robotiche introducono nuove problematiche che possono compromettere la stabilità degli algoritmi di navigazione convenzionali, specie se basati sulla visione. I robot umanoidi sono dotati di un alto grado di libertà di movimento, con la possibilità di effettuare velocemente movimenti complessi: tali caratteristiche introducono negli spostamenti vibrazioni non deterministiche in grado di compromettere l’affidabilit` dei dati sensoriali acquisiti, per esempio introducendo nei flussi video effetti indesiderati quali il motion blur. A causa dei vincoli imposti dal bilanciamento del corpo, inoltre, tali robot non sempre possono essere dotati di unit` di elaborazione molto performanti che spesso sono ingombranti e dal peso elevato: ci` limita l’utilizzo di algoritmi complessi e computazionalmente gravosi. Infine, al contrario di quanto accade per i robot dotati di ruote, la complessa cinematica di un robot umanoide impedisce di ricostruire il movimento basandosi sulle informazioni provenienti dagli encoder posti sui motori. In questa tesi ci si é focalizzati sullo studio e sullo sviluppo di nuove metodologie per affrontare il problema del Visual-SLAM, ponendo particolare enfasi ai problemi legati all’utilizzo di piccoli robot umanoidi dotati di una singola telecamera come piattaforme per gli esperimenti. I maggiori sforzi nell’ambito della ricerca sullo SLAM e sul Visual-SLAM si sono concentrati nel campo del processo di stima dello stato del robot, ad esempio la stima della propria posizione e della mappa dell’ambiente. D’altra parte, la maggior parte delle problematiche incontrate nella ricerca sul Visual-SLAM sono legate al processo di percezione, ovvero all’interpretazione dei dati provenienti dai sensori. In questa tesi ci si é perciò concentrati sul miglioramento dei processi percettivi da un punto di vista della visione artificiale. Sono stati affrontati i problemi che scaturiscono dall’utilizzo di piccoli robot umanoidi come piattaforme sperimentali, come ad esempio la bassa capacità di calcolo, la bassa qualit` dei dati sensoriali e l’elevato numero di gradi di libertà nei movimenti. La bassa capacità di calcolo ha portato alla creazione di un nuovo metodo per misurare la similarità tra le immagini, che fa uso di una descrizione dell’immagine compatta, utilizzabile in applicazioni di SLAM topologico. Il problema del motion blur é stato affrontato proponendo una nuova tecnica di rilevamento di feature visive, unitamente ad un nuovo schema di tracking, robusto an- che in caso di motion blur non uniforme. E’ stato altresì sviluppato un framework per l’odometria basata sulle immagini, che fa uso delle feature visive presentate. Si propone infine un approccio al Visual-SLAM basato sulle omografie, che sfrutta le informazioni ottenute da una singola telecamera montata su un robot umanoide. Tale approccio si basa sull’assunzione che il robot si muove su una superficie piana. Tutti i metodi proposti sono stati validati con esperimenti e studi comparativi, usando sia dataset standard che immagini acquisite dalle telecamere installate su piccoli robot umanoidi.
Alkhulayfi, Khalid Abdullah. "Vision-Based Motion for a Humanoid Robot." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/3176.
Full textPajon, Adrien. "Humanoid robots walking with soft soles." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS060/document.
Full textWhen unexpected changes of the ground surface occur while walking, the human central nervous system needs to apply appropriate control actions to assure dynamic stability. Many studies in the motor control field have investigated the mechanisms of such a postural control and have widely described how center of mass (COM) trajectories, step patterns and muscle activity adapt to avoid loss of balance. Measurements we conducted show that when stepping over a soft ground, participants actively modulated the ground reaction forces (GRF) under the supporting foot in order to exploit the elastic and compliant properties of the surface to dampen the impact and to likely dissipate the mechanical energy accumulated during the ‘fall’ onto the new compliant surface.In order to control more efficiently the feet-ground interaction of humanoid robots during walking, we propose adding outer soft (i.e. compliant) soles to the feet. They absorb impacts and cast ground unevenness during locomotion on rough terrains. However, they introduce passive degrees of freedom (deformations under the feet) that complexify the tasks of state estimation and overall robot stabilization. To address this problem, we devised a new walking pattern generator (WPG) based on a minimization of the energy consumption that offers the necessary parameters to be used jointly with a sole deformation estimator based on finite element model (FEM) of the soft sole to take into account the sole deformation during the motion. Such FEM computation is time costly and inhibit online reactivity. Hence, we developed a control loop that stabilizes humanoid robots when walking with soft soles on flat and uneven terrain. Our closed-loop controller minimizes the errors on the center of mass (COM) and the zero-moment point (ZMP) with an admittance control of the feet based on a simple deformation estimator. We demonstrate its effectiveness in real experiments on the HRP-4 humanoid walking on gravels
Kim, Hyun-Don. "Binaural Active Audition for Humanoid Robots." 京都大学 (Kyoto University), 2008. http://hdl.handle.net/2433/123821.
Full textBooks on the topic "Humanoid Robots"
Merkle, Moritz. Humanoid Service Robots. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5.
Full textGonzález Aguirre, David Israel. Visual Perception for Humanoid Robots. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97841-3.
Full textHarada, Kensuke, Eiichi Yoshida, and Kazuhito Yokoi, eds. Motion Planning for Humanoid Robots. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-220-9.
Full textHarada, Kensuke, Eiichi Yoshida, and Kazuhito Yokoi. Motion planning for humanoid robots. London: Springer, 2010.
Find full textAzad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.
Find full textKahraman, Cengiz, and Eda Bolturk, eds. Toward Humanoid Robots: The Role of Fuzzy Sets. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67163-1.
Full textDietrich, Alexander. Whole-Body Impedance Control of Wheeled Humanoid Robots. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40557-5.
Full textVernon, David, Claes von Hofsten, and Luciano Fadiga. A Roadmap for Cognitive Development in Humanoid Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16904-5.
Full textAzad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04229-4.
Full textHenze, Bernd. Whole-Body Control for Multi-Contact Balancing of Humanoid Robots. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87212-0.
Full textBook chapters on the topic "Humanoid Robots"
Cabás Ormaechea, Luis Maria. "Humanoid Robots." In Advanced Mechanics in Robotic Systems, 1–18. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-588-0_1.
Full textYoshida, Eiichi. "Humanoid Robots." In Encyclopedia of Robotics, 1–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-41610-1_44-1.
Full textSmith, Fraser. "Sarcos Robots." In Humanoid Robotics: A Reference, 325–35. Dordrecht: Springer Netherlands, 2018. http://dx.doi.org/10.1007/978-94-007-6046-2_22.
Full textMerkle, Moritz. "Introduction." In Humanoid Service Robots, 1–13. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_1.
Full textMerkle, Moritz. "Conceptual Background." In Humanoid Service Robots, 15–76. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_2.
Full textMerkle, Moritz. "Study 4: Customer Responses to Service Robots: Comparing Human-Robot Interaction with Human-Human Interaction." In Humanoid Service Robots, 173–89. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_7.
Full textMerkle, Moritz. "Study 3: Beyond the Call of Duty: The Impact of Innovative Service Behavior by Robots on Customer Delight." In Humanoid Service Robots, 145–72. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_6.
Full textMerkle, Moritz. "Overall Discussion." In Humanoid Service Robots, 191–200. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_8.
Full textMerkle, Moritz. "Study 1: A Service Robot Acceptance Model: Customer Acceptance of Humanoid Robots During Service Encounters." In Humanoid Service Robots, 113–29. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_4.
Full textMerkle, Moritz. "Method." In Humanoid Service Robots, 77–111. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34440-5_3.
Full textConference papers on the topic "Humanoid Robots"
Rojas, Salvador, He Shen, Holly Griffiths, Ni Li, and Lanchun Zhang. "Motion and Gesture Compliance Control for High Performance of a Wheeled Humanoid Robot." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72337.
Full textNeises, Michael. "Humanoid Robots." In HRI '20: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3371382.3378380.
Full textPenco, Luigi, Jean-Baptiste Mouret, and Serena Ivaldi. "Prescient Teleoperation of Humanoid Robots." In 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids). IEEE, 2023. http://dx.doi.org/10.1109/humanoids57100.2023.10375166.
Full textSarvadevabhatla, Ravi Kiran, and Victor Ng-Thow-Hing. "Panoramic attention for humanoid robots." In 2009 9th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2009). IEEE, 2009. http://dx.doi.org/10.1109/ichr.2009.5379578.
Full textTadesse, Yonas. "Actuation Technologies Suitable for Humanoid Robots." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87189.
Full textTrovato, Gabriele, Francisco Cuellar, and Masao Nishimura. "Introducing ‘theomorphic robots’." In 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids). IEEE, 2016. http://dx.doi.org/10.1109/humanoids.2016.7803429.
Full textGrey, Michael, Sungmoon Joo, and Matt Zucker. "Planning heavy lifts for humanoid robots." In 2014 IEEE-RAS 14th International Conference on Humanoid Robots (Humanoids 2014). IEEE, 2014. http://dx.doi.org/10.1109/humanoids.2014.7041430.
Full textPretto, Alberto, Emanuele Menegatti, and Enrico Pagello. "Reliable features matching for humanoid robots." In 2007 7th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2007). IEEE, 2007. http://dx.doi.org/10.1109/ichr.2007.4813922.
Full textFlacco, Fabrizio, Antonio Paolillo, and Abderrahmane Kheddar. "Residual-based contacts estimation for humanoid robots." In 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids). IEEE, 2016. http://dx.doi.org/10.1109/humanoids.2016.7803308.
Full textLuo, Zhou, Xuechao Chen, Zhangguo Yu, Qiang Huang, Libo Meng, Qingqing Li, Weimin Zhang, Wenjuan Guo, and Aiguo Ming. "Trajectory optimization of humanoid robots swinging leg." In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE, 2017. http://dx.doi.org/10.1109/humanoids.2017.8246898.
Full textReports on the topic "Humanoid Robots"
Arsenio, Artur. Children, Humanoid Robots and Caregivers. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada434761.
Full textSunardi, Mathias. Synthesizing Expressive Behaviors for Humanoid Robots. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7440.
Full textScassellati, Brian. Theory of Mind for a Humanoid Robot. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada434754.
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Full textScassellati, Brian. Investigating Models of Social Development Using a Humanoid Robot. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada434679.
Full textVarshavskaya, Paulina. Behavior-Based Early Language Development on a Humanoid Robot. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada434707.
Full textEdsinger, Aaron, and Una-May O'Reilly. Designing a Humanoid Robot Face to Fulfill a Social Contract. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada434150.
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