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Lessening Stress and Anxiety-Related Behaviors by means of AI-driven Drones for Aromatherapy

Giacomo Capizzi, Christian Napoli, Samuele Russo, Marcin Wozniak
2019 International Conference of the Italian Association for Artificial Intelligence  
The robot can be remotely driven by means of an artificial intelligence based on Radial Basis Function Neural Networks classifiers.  ...  In this work we devise a decision system for a robotic aroma diffusion device designed to lessen stress and anxiety-related behaviors.  ...  Groups of 4 consecutive feature vectors are joined and used as input for a radial basis function neural network.  ... 
dblp:conf/aiia/CapizziNRW19 fatcat:hc7ra5o6avcsbpg26gdlwwavui

Automatic calibration and neural networks for robot guidance

Balaji Sethuramasamyraja, Masoud Ghaffari, Ernest L. Hall, David P. Casasent, Ernest L. Hall, Juha Roning
2003 Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision  
An autonomous robot must be able to sense its environment and react appropriately in a variable environment.  ...  The University of Cincinnati Robot team is actively involved in building a small, unmanned, autonomously guided vehicle for the International Ground Robotics Contest organized by Association for Unmanned  ...  Building an unmanned ground robotic vehicle is a challenging task. A robot can be thought of as an intelligent connection of perception to action.  ... 
doi:10.1117/12.515036 fatcat:a3mu3tmqufd2hj3kepwfjrfdpm

Exploiting Sensorimotor Coordination for Learning to Recognize Objects

Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner
2007 International Joint Conference on Artificial Intelligence  
This data is then clustered using the standard k-means algorithm and the resulting clusters are labeled. The labeling is used to train a radial basis function network for classifying the clusters.  ...  The performance of the system has been tested on a kinematically complex walking robot capable of manipulating objects with two legs used as arms, and it has been found that the trained neural network  ...  In the implemented neural network, we used a Gaussian function as a basis function. Figure 3 shows the topology of the radial basis function network used for data classification.  ... 
dblp:conf/ijcai/KassahunEGK07 fatcat:gmpxfbp2fbcldgjgstmsco5r6i

Humanoid Robot Painter: Visual Perception and High-Level Planning

Miti Ruchanurucks, Shunsuke Kudoh, Koichi Ogawara, Takaaki Shiratori, Katsushi Ikeuchi
2007 Engineering of Complex Computer Systems (ICECCS), Proceedings of the IEEE International Conference on  
Third, we propose a novel global orientation map perception using a radial basis function.  ...  This paper presents visual perception discovered in high-level manipulator planning for a robot to reproduce the procedure involved in human painting.  ...  ACKNOWLEDGMENT This work is supported in part by the Japan Science and Technology Corporation (JST) under the CREST project.  ... 
doi:10.1109/robot.2007.363932 dblp:conf/icra/RuchanurucksKOSI07 fatcat:yulrzuhobfdltj4p2tnqwegayq

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives

Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto
2018 2018 IEEE International Conference on Robotics and Automation (ICRA)  
In this paper we propose a new approach for learning perception-action couplings.  ...  We propose suitable cost functions for training the network and describe how to calculate their gradients to enable effective training by back-propagation.  ...  For a DMP representation of the movement trajectory we chose 25 radial-basis functions for every dimension.  ... 
doi:10.1109/icra.2018.8460954 dblp:conf/icra/PahicGUM18 fatcat:s7cefmunbndhvcx4azftcfwgea

Cortical network modeling for inverse kinematic computation of an anthropomorphic finger

R. J. Gentili, Hyuk Oh, J. Molina, J. L. Contreras-Vidal
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
The long term goal of this research is to design a bio-mimetic controller providing adaptive, robust and flexible control of dexterous robotic/prosthetics hands.  ...  In this article, we present a neural model able to learn the inverse kinematics of a simulated anthropomorphic robot finger (ShadowHand™ finger) having four degrees of freedom while performing 3D reaching  ...  The output of the network g ij (θ) is given by: (3) (4) where g ij (θ) are the basis functions of the network and k is the index of the basis function, the vector c ijkm is a measure of the distance between  ... 
doi:10.1109/iembs.2011.6092034 pmid:22256258 pmcid:PMC4098968 dblp:conf/embc/GentiliOMC11 fatcat:eajnxl24vnhcnluxdykz7d55ay

Multi-model approach based on 3D functional features for tool affordance learning in robotics

Tanis Mar, Vadim Tikhanoff, Giorgio Metta, Lorenzo Natale
2015 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids)  
Tools can afford similar functionality if they share some common geometrical features.  ...  Then, based on these features, we propose an approach to learn and predict tool affordances in which the robot first discovers the available tool-pose categories of a set of hand-held tools, and then learns  ...  This kind of networks have a single hyper-parameter σ which serves a regularization parameter by controlling the spread of its radial basis function.  ... 
doi:10.1109/humanoids.2015.7363593 dblp:conf/humanoids/MarTMN15 fatcat:zv3aavpjmvhdla7sv5mlyadaqm

Plastic Representation of the Reachable Space for a Humanoid Robot [chapter]

Marco Antonelli, Beata J. Grzyb, Vicente Castelló, Angel P. del Pobil
2012 Lecture Notes in Computer Science  
These networks allow reaching the target either through a ballistic movement or through visually-guided actions.  ...  The proposed framework was implemented on the NAO humanoid robot, and our experimental results provide evidences for its adaptative capabilities.  ...  Both S observed and f are expressed in terms of pixels. The structure and parameters of the radial basis function networks were chosen using a heuristic search on a simulated model of the robot.  ... 
doi:10.1007/978-3-642-33093-3_17 fatcat:fcci3mut4nagvmhntc67unoimy

A Pilot Study on Saccadic Adaptation Experiments with Robots [chapter]

Eris Chinellato, Marco Antontelli, Angel P. del Pobil
2012 Lecture Notes in Computer Science  
Despite the increasing mutual interest, robotics and cognitive sciences are still lacking common research grounds and comparison methodologies, for a more efficient use of modern technologies in aid of  ...  The behavior of the robot, endowed with advanced sensorimotor skills and high autonomy in its interaction with the surrounding environment, is based on a model of cortical sensorimotor functions.  ...  The authors would like to thank Markus Lappe for many helpful discussions and advice regarding the experiments and earlier drafts of this paper.  ... 
doi:10.1007/978-3-642-31525-1_8 fatcat:7b67ahj3kbhihkk27l4zfq5uiy

Robot painter: from object to trajectory

Miti Ruchanurucks, Shunsuke Kudoh, Koichi Ogawara, Takaaki Shiratori, Katsushi Ikeuchi
2007 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Third, we generate global orientation map perception using a radial basis function. Finally, we use the derived foreground, color segments, and orientation map to produce a visual feedback drawing.  ...  This paper presents visual perception discovered in high-level manipulator planning for a robot to reproduce the procedure involved in human painting.  ...  ACKNOWLEDGMENT This work is supported by the Japan Science and Technology Corporation (JST) under the CREST project.  ... 
doi:10.1109/iros.2007.4399010 dblp:conf/iros/RuchanurucksKOSI07 fatcat:lajjghliirddfo2ivpc7jmp554

Body Schema Learning [chapter]

Jürgen Sturm, Christian Plagemann, Wolfram Burgard
2012 Springer Tracts in Advanced Robotics  
We introduce a flexible model based on Bayesian networks that allows a robot to simultaneously identify its kinematic structure and to learn the geometrical relationships between its body parts as a function  ...  This chapter describes how the kinematic models of a manipulation robot can be learned, calibrated, monitored and adapted automatically using the perception and actuation capabilities provided by the robot's  ...  et al. [2010] employed radial basis function networks (RBFs) to learn the local mappings between configurations and end effector poses.  ... 
doi:10.1007/978-3-642-25116-0_12 fatcat:7qxvy3tdlneqtpoe2mnnlyltfi

Biologically-Inspired Computational Neural Mechanism for Human Action/activity Recognition: A Review

Bardia Yousefi, Chu Kiong Loo
2019 Electronics  
This paper describes different perspective to look at this task including action perception, computational and knowledge based modeling, psychological, and neuroscience approaches.  ...  The research on these areas provided massive information and plausible computational models. Here, a review on this subject is presented.  ...  These areas and their functionalities are considered in their timing t 1 , t 2 , . . . , t n for the input data frames and their encoded information gathered by radial base function and optical flow.  ... 
doi:10.3390/electronics8101169 fatcat:v6cuchycurd2xg7cx545dwujy4

Robust Reinforcement Learning in Motion Planning

Satinder P. Singh, Andrew G. Barto, Roderic A. Grupen, Christopher I. Connolly
1993 Neural Information Processing Systems  
The resulting action set has a more abstract relationship to the task being solved than is common in many applications of RL.  ...  This method formulates the set of actions from which the RL agent composes a control policy to ensure that exploration is conducted in a policy space that excludes most of the unacceptable policies.  ...  Acknowledgements This work was supported by a grant ECS-9214866 to Prof. A. G. Barto from the National Science Foundation, and by grants IRI-9116297, IRI-9208920, and CDA-8922572 to Prof. R.  ... 
dblp:conf/nips/SinghBGC93 fatcat:sot4jsuyqvdxncian37yffm2p4

Color categories in biological evolution: Broadening the palette

Wayne D. Christensen, Luca Tommasi
2005 Behavioral and Brain Sciences  
But, although using human communication as a model may be a useful starting point for robotics, the radical differences in physical constraints between robots and humans makes it unclear how much overlap  ...  Steels & Belpaeme's (S&B's) study attempts to combine research objectives for robotics and human science.  ...  These can be used to supplement categories grounded in embodiment and, as a result, actions can be better coordinated.  ... 
doi:10.1017/s0140525x05260089 fatcat:qfvmguhn6nbfbjr75v3c6g4qpy

Exploratory Tactile Servoing With Active Touch

Nathan F. Lepora, Kirsty Aquilina, Luke Cramphorn
2017 IEEE Robotics and Automation Letters  
more recently, geometric moments [18] and image dilation [19] .  ...  radial location (active perception) and moving along a tangential direction (exploration).  ... 
doi:10.1109/lra.2017.2662071 dblp:journals/ral/LeporaAC17 fatcat:bys4em5svvbivfgcebaxcdmeie
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