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From Motor Learning to Interaction Learning in Robots
[chapter]
2010
Studies in Computational Intelligence
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Finally, for efficient interaction of humans with robot systems, we will need a form of interaction learning. ...
We focus here on several core domains of robot learning. For accurate task execution, we need motor learning capabilities. ...
field edited by the authors ("From Motor to Interaction Learning in Robots" (O. ...
doi:10.1007/978-3-642-05181-4_1
fatcat:zpfcyzaa7ra4xplm2hrxpnjtru
How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project
2012
Künstliche Intelligenz
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How rich motor skills empower robots at last: Insights and progress of the AMARSi project his item ws sumitted to voughorough niversity9s snstitutionl epository y theGn uthorF Citation: yvyqqsyD eF nd ...
isvD tFD PHIPF row rih motor skills emE power roots t lstX snsights nd progress of the ewei projetF u¤ unstlihe sntelligenzD PT @RAD ppF RHUERIH ...
His research interests comprise learning in cognitive robotics, acquisition of motor behavior, modeling of attention, and non-linear systems including recurrent networks. ...
doi:10.1007/s13218-012-0192-5
fatcat:3ee4wrnwtzci3ebsox6varnzru
Learning postures through an imitation game between a human and a robot
2012
2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
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In this paper, we investigate a sensory-motor architecture allowing a robot to learn to recognize postures. ...
Investigations on how a "naive" system can learn to imitate correctly another person's posture during a natural interaction motivate the current research work. ...
SENSORY-MOTOR ARCHITECTURE A simple sensory-motor architecture allows the robot to learn, recognize and imitate postures. ...
doi:10.1109/devlrn.2012.6400880
dblp:conf/icdl-epirob/BoucennaDCG12
fatcat:g7sups5ouvckbhkhdd63ije5xu
Proprioception and Imitation: On the Road to Agent Individuation
[chapter]
2010
Studies in Computational Intelligence
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In this paper, we will show that different kinds of interactive behaviors can emerge according to the kind of proprioceptive function available in a given sensori-motor system. ...
In the first one, an internal proprioceptive signal is avaible for the learning of the visuo-motor coordination between an arm and a camera. ...
From this low-level imitative behavior, our robot is able to learn sequences of movements from others. To do this, we use a second sensori-motor loop (Figure 3 a.) ...
doi:10.1007/978-3-642-05181-4_3
fatcat:nxafhyoq65dbzi25fq7il3gxcu
The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning
2014
Topics in Cognitive Science
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process that combines imitation learning from demonstration by a human teacher, practice and motor imagery (Mohan, Morasso, Zenzeri, & Metta, 2010) . ...
Recurrence-based learning of word-like units: learning by 'echoing' in human-robot interaction. In L. ...
doi:10.1111/tops.12099
pmid:24934294
fatcat:vgmjpsnznbf5nl5vapf2byunfm
Editorial of E-Book on Action and Language Integration
2012
Frontiers in Neurorobotics
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for human-robot interaction experiments (Lallee et al., 2010) , verbal and non-verbal communication in neurorobotics models (Bicho et al., 2010) , and action bases of action words (Marocco et al., 2010 ...
In a psychology experiment, participants learn to associate non-sense arm motor patterns, performed in three different hand postures, with non-sense words. ...
Both from a theoretical perspective, and via human-robot interaction experiments with the iCub robot, they demonstrate the advantages of this hybrid, embodied-teleological approach to action-language interaction ...
doi:10.3389/fnbot.2012.00002
pmid:22557966
pmcid:PMC3340605
fatcat:uo7tyz6zbnbtjc5cuxt34jg654
Slaves no longer: review on role assignment for human–robot joint motor action
2013
Adaptive Behavior
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Funding This study was supported in part by an EU HUMOUR grant (grant number FP7-ICT-231724). ...
Roles assignment in human-robot motor interaction 2.3.1. Robotic slaves. ...
Finally, a robot able to learn from collaboration with a skilled human worker would enable manufacturing companies to move the robot assistant from one workstation to another without extensive reprogramming ...
doi:10.1177/1059712313481044
fatcat:h3d6zuz3abdzzilu55qcrppsgq
Imitation as a communication tool for online facial expression learning and recognition
2010
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
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In this paper, a first series of robotics experiments showing that a simple neural network model can control the robot head and learn on-line to recognize the facial expressions (the human partner imitates ...
We are interested in understanding how babies learn to recognize facial expressions without having a teaching signal allowing to associate a facial expression to a given abstract label (i.e the name of ...
Soussignan for their help to calibrate the robot facial expressions and P. Canet for the design of the robot head. Many thanks also to L. ...
doi:10.1109/iros.2010.5650357
dblp:conf/iros/BoucennaGAH10
fatcat:aly6inskmjbajgcdip4th22fsm
Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks
2010
2010 IEEE International Conference on Robotics and Automation
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Interaction of a robot with dynamic environments would require continuous adaptation of force and impedance, which is generally not available in current robot systems. ...
In contrast, humans learn novel task dynamics with appropriate force and impedance through the concurrent minimization of error and energy, and exhibit the ability to modify movement trajectory to comply ...
HUMAN MOTOR CONTROL AND LEARNING
A. Feedforward and feedback control To model human motor control and learning let us first analyze them from a robotics point of view. ...
doi:10.1109/robot.2010.5509994
dblp:conf/icra/GowrishankarAMKB10
fatcat:phfhemcw65etrf2rdc43ber4o4
Plastic Changes in Hand Proprioception Following Force-Field Motor Learning
2010
Journal of Neurophysiology
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In line with this shift, a recent article by Ostry and colleagues provided timely new evidence that force-field motor learning influences not only motor output, but also proprioceptive sense. ...
In this Neuro Forum, the merits and limitations of Ostry and colleagues are explored in the context of recent work on proprioceptive function, including several recent studies from this journal. ...
resulting from FF motor learning. ...
doi:10.1152/jn.00543.2010
pmid:20610787
pmcid:PMC2944679
fatcat:fby5nhs6q5c6racho2gyz6nzhe
Learning control in robot-assisted rehabilitation of motor skills – a review
2016
Journal of Control and Decision
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How this paradigm is used to model quantitatively, at an input/output level, the learning that happens in the context of human motor skill learning is discussed in this note. ...
Experimental studies of human motor learning, in robotically controlled environments, indicate that a model consisting of a classical (iterative) learning control augmented with an appropriate kinematic ...
next set of exercises and robot-patient interaction modes to reach for more improvement in motor skill rehabilitation. ...
doi:10.1080/23307706.2015.1129295
fatcat:vsdhkatrbffevlqiebx6tnpu6y
Autonomous Development of Social Referencing Skills
[chapter]
2010
Lecture Notes in Computer Science
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Hence we advocate the idea that social referencing can be bootstrapped from a simple sensori-motor system not dedicated to social interactions. ...
Without knowing that the other is an agent, the robot is able to learn some complex tasks if the human partner has some "empathy" or at least "resonate" with the robot head (low level emotional resonance ...
Soussignan for their help to calibrate the robot facial expressions and P. Canet for the design of the robot head. Many thanks also to L. ...
doi:10.1007/978-3-642-15193-4_59
fatcat:dq7lfqznv5ch3jfvcjxzsqac34
Special corner on "cognitive robotics"
2011
Cognitive Processing
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We are also very grateful to the reviewers that helped to select these papers and provided valuable comments to their authors ( ...
, from learning motor skills (Rolf et al. 2010 ) to a principled approach for the acquisition of cognitive abilities as in the subfield of ''cognitive developmental robotics'' (Asada et al. 2001; Cangelosi ...
Kopp 2010), or as systematically controllable stimuli in human-robot interaction experiments. ...
doi:10.1007/s10339-011-0415-y
pmid:21953385
fatcat:kq7uax4xgbbpvaupcn5twt5tmi
Perception: Insights from the sensori-motor approach
2010
2010 2nd European Workshop on Visual Information Processing (EUVIP)
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The active learning phase for different points of view or face expressions allows the emergence of a stable perception linked to a stable sensori-motor attractor and allows the robot to perform a stable ...
For place, object or facial expression recognition, we show how simple sensori-motor architecture can be applied to accomplish each task in terms of behavioral recognition. ...
In the simplified case of fig. 3 , we consider dx dt = Ac, with Ac the actions performed by the robot to go from an x-coordinate to another one and allowing going from one sensori-motor state to another ...
doi:10.1109/euvip.2010.5699148
dblp:conf/euvip/HafemeisterGMBG10
fatcat:a3bz5ve3onbtngdorpzf5daldy
Humanoid Robot-Application and Influence
2018
Archives of Clinical and Biomedical Research
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Application of humanoid robots has been common in the field of healthcare and education. ...
Our study performed a literature review and found that (a) children and elderly individuals prefer humanoid robots due to inactive social interaction, (b) The deterministic behavior of humanoid robots ...
The ability of the humanoid robot to evoke human-human interaction along with its impact on learning was analyzed in a study conducted by Costa in 2015. ...
doi:10.26502/acbr.50170059
fatcat:iqwhlsdihjf6zhffmgomkutghy
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