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Towards shape-based visual object categorization for humanoid robots

D. Gonzalez-Aguirre, J. Hoch, S. Rohl, T. Asfour, E. Bayro-Corrochano, R. Dillmann
2011 2011 IEEE International Conference on Robotics and Automation  
So far, efforts on visual object categorization using humanoid robots have either been focused on appearance-based methods or have been restricted to object recognition without generalization capabilities  ...  In this work, a shape model-based approach using stereo vision and machine learning for object categorization is introduced.  ...  Fig. 1 : 1 Shape-based visual object categorization.  ... 
doi:10.1109/icra.2011.5980065 dblp:conf/icra/Gonzalez-AguirreHRABD11 fatcat:sucl2tjd6zhwnawberm6tzpqqi

Developmental and Evolutionary Lexicon Acquisition in Cognitive Agents/Robots with Grounding Principle: A Short Review

Nadia Rasheed, Shamsudin H. M. Amin
2016 Computational Intelligence and Neuroscience  
This paper concentrates on these two main modelling methods with the grounding principle for the acquisition of linguistic ability in cognitive agents or robots.  ...  The evolutionary and developmental language acquisition are two innovative and important methodologies for the grounding of language in cognitive agents or robots, the aim of which is to address current  ...  for the state-of-the-art laboratories.  ... 
doi:10.1155/2016/8571265 pmid:27069470 pmcid:PMC4812272 fatcat:nu22bmecj5ecbiwvyy5mxkobxm

Robots that look like humans: A brief look into humanoid robotics

Eiichi Yoshida
2018 Mètode Science Studies Journal: Annual Review  
Upper-body humanoids with a mobile base, which are mainly utilized for research on human-robot interaction and cognitive robotics, are also introduced before addressing current issues and perspectives.  ...  This article provides a brief overview of the technology of humanoid robots.  ...  Its head has audio and visual sensors (Asfour, Welke, Azad, Ude, & Dillman, 2008) in order to understand the user's voice commands and to recognize and localize objects based on visual features and model-based  ... 
doi:10.7203/metode.9.11405 fatcat:ceuzu732hvbpde4rmcelarocam

Learning at the ends: From hand to tool affordances in humanoid robots

Giovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, Jose Santos-Victor
2017 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)  
that while a robot can collect many sensorimotor experiences using its own hands, this cannot happen for all possible human-made tools.  ...  to estimate the affordances of previously unseen tools, ultimately supporting planning, decision-making and tool selection tasks in humanoid robots.  ...  We thank the anonymous reviewers for their helpful suggestions.  ... 
doi:10.1109/devlrn.2017.8329826 dblp:conf/icdl-epirob/SaponaroVDJBS17 fatcat:6xzcgvs6ufezblqi4ccohhwkm4

Teaching a Robotic Child - Machine Learning Strategies for a Humanoid Robot from Social Interactions [chapter]

Artur Arsenio
2007 Humanoid Robots: New Developments  
Robot Skill Augmentation through Cognitive Artifacts A human caregiver can introduce a robot to a rich world of visual information concerning objects' visual appearance and shape.  ...  Except for a description contained in a book, which was previously segmented, the robot had no other knowledge concerning the visual appearance or shape of such object.  ...  Teaching a Robotic Child -Machine Learning Strategies for a Humanoid Robot from Social Interactions, Humanoid Robots: New Developments, Armando Carlos de Pina Filho (Ed.), ISBN: 978-3-902613-00-4, InTech  ... 
doi:10.5772/4860 fatcat:tli5frmsjncvzndm2n6a6thrau

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation [article]

Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019 arXiv   pre-print
To these ends, we propose the use of novel variable BCI stimuli by utilising the real-time video streamed via the on-board robot camera as visual input for SSVEP, where the CNN detected natural scene objects  ...  This paper addresses the challenge of humanoid robot teleoperation in a natural indoor environment via a Brain-Computer Interface (BCI).  ...  that indicate different directions for the robot to move toward.  ... 
arXiv:1811.10280v2 fatcat:7vizuoe4pvcajgmgi6mbzy26t4

Extracting whole-body affordances from multimodal exploration

Peter Kaiser, David Gonzalez-Aguirre, Fabian Schultje, Julia Borras, Nikolaus Vahrenkamp, Tamim Asfour
2014 2014 IEEE-RAS International Conference on Humanoid Robots  
We combine visual and inertial sensing modalities by means of a novel depth model for generating segmented and categorized geometric primitives.  ...  We believe that such a coupling between perception and action could be a key to substantially increase the flexibility of humanoid robots.  ...  Related Work In the last decade, important contributions on visual simultaneous localization and mapping vSLAM for humanoid robots have been achieved (see [13] - [15] ).  ... 
doi:10.1109/humanoids.2014.7041332 dblp:conf/humanoids/KaiserGSSVA14 fatcat:zwwvccuquferden4ldrqm6p5gq

Object Affordances by Inferring on the Surroundings*

Paola Ardon Ramirez, Subramanian Ramamoorthy, Katrin Solveig Lohan
2018 2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)  
Robotic cognitive manipulation methods aim to imitate the human-object interactive process.  ...  Hence, our research pursuits to develop a cognitive affordances map by (i) considering the object and the characteristics of the environment in which this object is more likely to appear, and (ii) achieving  ...  target object and the agent, e.g, humanoid robot.  ... 
doi:10.1109/arso.2018.8625829 dblp:conf/arso/RamirezRL18 fatcat:67xu4xwew5gmpi2bf35moafnae

A closed-loop approach for tracking a humanoid robot using particle filtering and depth data

Pablo Arturo Martínez, Xiao Lin, Mario Castelán, Josep Casas, Gustavo Arechavaleta
2017 Intelligent Service Robotics  
and the locomotion control of the robot based on the Robot Operating System (ROS), which is capable to achieve real time locomotion tasks using a NAO humanoid robot.  ...  Martínez and the financial support for the sabbatical leave of Mario Castelán.  ...  Also, the authors would like to thank Mexican Council of Science and Technology (CONACYT) for the PhD studentship of Pablo A.  ... 
doi:10.1007/s11370-017-0230-0 fatcat:yle7646inbbexcvxwzjcfglmce

Tracing patterns and attention: humanoid robot cognition

L.-M. Garcia, A.A.F. Oliveira, R.A. Grupen, D.S. Wheeler, A.H. Fagg
2000 IEEE Intelligent Systems and their Applications  
We're also interested in the relationships between visual, haptic (touch-based), proprioceptive (simuli arising from within), and motor systems in humans.  ...  Humanoid robots fit this general specification.  ...  Acknowledgments We performed this work at the Laboratory for Perceptual Robotics, University of Massachusetts (www-robotics.cs.umass.edu).  ... 
doi:10.1109/5254.867915 fatcat:qlxpcu4yzbgkrnuijp65cgfcsy

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation

Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019 2019 International Conference on Robotics and Automation (ICRA)  
To these ends, we propose the use of novel variable BCI stimuli by utilising the real-time video streamed via the on-board robot camera as visual input for SSVEP, where the CNN detected natural scene objects  ...  This paper addresses the challenge of humanoid robot teleoperation in a natural indoor environment via a Brain-Computer Interface (BCI).  ...  that indicate different directions for the robot to move toward.  ... 
doi:10.1109/icra.2019.8794060 dblp:conf/icra/AznanCMB19 fatcat:ex6xmp7efffffnzmpqeorzaldm

Rapid categorization of object properties from incidental contact with a tactile sensing robot arm

Tapomayukh Bhattacharjee, Ariel Kapusta, James M. Rehg, Charles C. Kemp
2013 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids)  
In a randomized cluttered environment of known object types and "outliers", our approach uses Hidden Markov Models to capture the dynamic robot-environment interactions and to categorize objects based  ...  We demonstrate that data-driven methods can be used to rapidly categorize objects encountered through incidental contact on a robot arm.  ...  We would like to thank Mark Cutkosky and the Stanford Biomimetics and Dexterous Manipulation Lab for their contributions to the forearm tactile skin sensor.  ... 
doi:10.1109/humanoids.2013.7029979 fatcat:usyi5frcbzejrjbuln2e6v5zpy

Real-time dynamic visual gesture recognition in human-robot interaction

Florian A. Bertsch, Verena V. Hafner
2009 2009 9th IEEE-RAS International Conference on Humanoid Robots  
We present a system that is able to recognize dynamic human gestures in an interaction scenario where a humanoid robot visually observes the behavior of a human.  ...  This allows for a natural human-robot communication where no markers or technical devices are necessary on the side of the human interactor.  ...  The type of gestures we are dealing with is distinct from the types considered in existing approaches used for visual gesture-based human-robot interaction.  ... 
doi:10.1109/ichr.2009.5379541 dblp:conf/humanoids/BertschH09 fatcat:vxicgv7uxvg4hgnlouiipmgxyy

Robust real-time landmark recognition for humanoid robot navigation

M. Elmogy, Jianwei Zhang
2009 2008 IEEE International Conference on Robotics and Biomimetics  
The humanoid landmark recognition system is based on a two-step classification stage which is robust and invariant towards scaling and translations.  ...  It is a key feature for building robots capable of navigating and performing tasks in human environments.  ...  We chose a humanoid robot for our implementation because human interaction with robots is easier if robots have a humanoid shape.  ... 
doi:10.1109/robio.2009.4913065 dblp:conf/robio/ElmogyZ08 fatcat:yvlod3wibba2zdmipwinatzr6m

Robust Real-Time Landmark Recognition for Humanoid Robot Navigation

Mohammed M. Elmogy, Jianwei Zhang
2008 Social Science Research Network  
The humanoid landmark recognition system is based on a two-step classification stage which is robust and invariant towards scaling and translations.  ...  It is a key feature for building robots capable of navigating and performing tasks in human environments.  ...  We chose a humanoid robot for our implementation because human interaction with robots is easier if robots have a humanoid shape.  ... 
doi:10.2139/ssrn.1906660 fatcat:z253omg6trbelojm7p5fau23yy
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