2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)最新文献

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A generative-discriminative learning model for noisy information fusion 噪声信息融合的生成-判别学习模型
Thomas Hecht, A. Gepperth
{"title":"A generative-discriminative learning model for noisy information fusion","authors":"Thomas Hecht, A. Gepperth","doi":"10.1109/DEVLRN.2015.7346148","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346148","url":null,"abstract":"This article is concerned with the acquisition of mul-timodal integration capacities by learning algorithms. Humans seem to perform statistically optimal fusion, and this ability may be gradually learned from experience. In order to stress the advantage of learning approaches in contrast to hand-coded models, we propose a generative-discriminative learning architecture that avoids simplifying assumptions on prior distributions and copes with realistic relationships between observations and underlying values. We base our investigation on a simple self-organized approach, for which we show statistical near-optimality properties by explicit comparison to an equivalent Bayesian model on a realistic artificial dataset.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121388267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A neurorobotic model of learning to shake a rattle 学习摇摇摇铃的神经机器人模型
Forrest Yeh, A. Warlaumont, Y. Chen, Timothy M. Shea, B. Stark
{"title":"A neurorobotic model of learning to shake a rattle","authors":"Forrest Yeh, A. Warlaumont, Y. Chen, Timothy M. Shea, B. Stark","doi":"10.1109/DEVLRN.2015.7346150","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346150","url":null,"abstract":"Reward-modulated Hebbian learning is a biologically plausible neural learning mechanism that has been previously applied to a variety of learning tasks. For example, recent work used reward-modulated spike timing dependent plasticity (STDP) to help explain how infants learn to produce syllabic babbling [1]. This project attempts to extend this learning mechanism to a new domain of infant motor development, shaking a rattle. The experiment transduces neural spike trains to adjust frequency of sinusoidal movement around a robotic arm's articulation point. Reinforcement given when the volume, defined as the root mean square (RMS) amplitude, of sound made by a rattle attached to the robot arm exceeded the mean RMS of recent trials.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124050767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autism 多模态感知机器人框架在自闭症儿童物理-音乐互动治疗中的应用
C. Park, M. Jeon, A. Howard
{"title":"Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autism","authors":"C. Park, M. Jeon, A. Howard","doi":"10.1109/DEVLRN.2015.7346132","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346132","url":null,"abstract":"The rapid increase in the population of children with autism spectrum disorder (ASD) in the United States has revealed urgent needs for therapeutic accessibility for children with ASD in the domain of emotion and social interaction. There have been a number of approaches with robotic therapeutic systems [1,2] with intriguing approaches and results. However, the spectral diversity of ASD is so wide that we still need to push forward research to provide parameterized therapeutic tools and frameworks. We focus on the recent studies that reveal strong relevance in premotor cortex among neural domains for music, emotion, and motor behaviors [3,4]. We hypothesize that musical interaction and physical activities can provide a new therapeutic domain for effective development in the children's emotion and social interaction. To investigate this challenging problem, we propose to develop autonomous interaction methods for robots to effectively stimulate the emotional and social interactivity of children. The objectives of this collaborative effort are to promote emotional and social engagement with children with autism as well as provide parametrized metrics for clinicians and parents for prolonged and quantifiable clinical settings.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115403950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
What are goals? And if so, how many? 什么是目标?如果有,有多少?
Matthias Rolf, M. Asada
{"title":"What are goals? And if so, how many?","authors":"Matthias Rolf, M. Asada","doi":"10.1109/DEVLRN.2015.7346167","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346167","url":null,"abstract":"Goals are concepts used in many different areas of robotics, artificial intelligence, psychology, neuroscience, and also philosophy. Despite the wide usage, there is no common definition of a “goal”. Rather, the term is used in substantially different ways even within disciplines. This paper discusses these notions and potentially unified views on goals, and points out how different perspectives on the same term lead to different arguments and can cause communication difficulties in the interdisciplinary community. We discuss how far goal terminologies can be generally considered as desired end states of action and point out the pivotal aspect of their explicit representation. As a major point we discuss the relation of such goals with reward and value systems from various perspectives.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121212254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Enhancing agent safety through autonomous environment adaptation 通过自主环境适应提高agent安全性
Benjamin Rosman, Bradley Hayes, B. Scassellati
{"title":"Enhancing agent safety through autonomous environment adaptation","authors":"Benjamin Rosman, Bradley Hayes, B. Scassellati","doi":"10.1109/DEVLRN.2015.7346143","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346143","url":null,"abstract":"Exploration and self-directed learning are valuable components of early childhood development. This often comes at an unacceptable safety trade-off, as infants and toddlers are especially at risk from environmental hazards that may fundamentally limit their ability to interact with and explore their environments. In this work we address this risk through the incorporation of a caregiver robot, and present a model allowing it to autonomously adapt its environment to minimize danger for other (novice) agents in its vicinity. Through an approach focusing on action prediction strategies for agents with unknown goals, we create a model capable of using expert demonstrations to learn typical behaviors for a multitude of tasks. We then apply this model to predict likely agent behaviors and identify regions of risk within this action space. Our contribution uses this information to prioritize and execute risk mitigating behaviors, manipulating and adapting the environment to minimize the potential harm the novice is likely to encounter. We conclude with an evaluation using multiple agents of varying goal-directedness, comparing agents' self-interested performance in scenarios with and without the assistance of a caregiver incorporating our model. Our experiments yield promising results, with assisted agents incurring less damage, interacting longer, and exploring their environments more completely than unassisted agents.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The role of contrast sensitivity in the development of binocular vision: A computational study 对比敏感度在双目视觉发展中的作用:一项计算研究
Alexander Priamikov, Vikram Narayan, Bertram E. Shi, J. Triesch
{"title":"The role of contrast sensitivity in the development of binocular vision: A computational study","authors":"Alexander Priamikov, Vikram Narayan, Bertram E. Shi, J. Triesch","doi":"10.1109/DEVLRN.2015.7345452","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7345452","url":null,"abstract":"The development of accurate binocular vision relies on the acquisition of disparity tuning and the calibration of vergence eye movements. Both processes are fundamentally limited by visual acuity, which increases only gradually during the first year of life. Next to limiting performance, however, early limitations of visual acuity may also aid rapid learning analogous to Newport's “less-is-more” hypothesis. Here we use computational modeling to assess the potential impact of early acuity limitations on the development of binocular vision. Our starting point is a previous model of the development of binocular vision, formulated in the Active Efficient Coding framework. We extend this model to incorporate the development of visual acuity between birth and 8 months. We find that the model does in fact learn faster if visual acuity starts out poor and increases with time, supporting the less-is-more hypothesis. Furthermore, we find that the speed of acuity improvement needs to be “just right”, i.e., neither too rapid nor too slow for fastest learning. Overall, our model suggests that early limitations of visual acuity may aid infants in acquiring binocular vision skills and it provides a good starting point for computational modeling of developmental disorders of binocular vision.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126304207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Designing a socially assistive robot for personalized number concepts learning in preschool children 设计一种用于学龄前儿童个性化数字概念学习的社交辅助机器人
Caitlyn E. Clabaugh, G. Ragusa, Fei Sha, M. Matarić
{"title":"Designing a socially assistive robot for personalized number concepts learning in preschool children","authors":"Caitlyn E. Clabaugh, G. Ragusa, Fei Sha, M. Matarić","doi":"10.1109/DEVLRN.2015.7346164","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346164","url":null,"abstract":"Designing technological systems for personalized education is an iterative and interdisciplinary process that demands a deep understanding of the application domain, the limitations of current methods and technologies, and the computational methods and complexities behind user modeling and adaptation. We present our design process and the Socially Assistive Robot (SAR) tutoring system to support the efforts of educators in teaching number concepts to preschool children. We focus on the computational considerations of designing a SAR system for young children that may later be personalized along multiple dimensions. We conducted an initial data collection to validate that the system is at the proper challenge level for our target population, and discovered promising patterns in participants' learning styles, nonverbal behavior, and performance. We discuss our plans to leverage the data collected to learn and validate a computational, multidimensional model of number concepts learning.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130335333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
A Bayesian approach towards affordance learning in artificial agents 基于贝叶斯的人工智能体可视性学习方法
Francesca Stramandinoli, V. Tikhanoff, U. Pattacini, F. Nori
{"title":"A Bayesian approach towards affordance learning in artificial agents","authors":"Francesca Stramandinoli, V. Tikhanoff, U. Pattacini, F. Nori","doi":"10.1109/DEVLRN.2015.7346160","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346160","url":null,"abstract":"Inspired by recent advances proposed in the ecological psychology community, many developmental robotics studies have started to investigate the modeling and learning of affordances in humanoid robots. In this paper we leverage a probabilistic graphical model in place of the Least Square Support Vector Machine (LSSVM) used in a previous experiment, for testing the Bayesian approach towards affordance learning in the iCub robot. We present two experiments related to the learning of the effect consequent from the tapping of objects from several directions and to the pulling of out-of-reach objects by choosing the appropriate tool. The proposed probabilistic graphical model w.r.t the LSSVM not only identifies a regression function for the prediction of the effects of actions but it provides information on the reliability of the predicted values as well.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123513478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
When and where do infants follow gaze? 婴儿何时何地跟随凝视?
G. Deák
{"title":"When and where do infants follow gaze?","authors":"G. Deák","doi":"10.1109/DEVLRN.2015.7346138","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346138","url":null,"abstract":"Infants' processing of adult social cues develops late in the first year. Sensitivity before 6 months is limited to nonspecific motion-cuing by lateral eye movements. Results from naturalistic and experimental studies show that learning is sensitive to factors including target location, target salience, gaze-cue salience, and the presence of distractors or non-gaze social cues. Those results are consistent with models in which incremental learning processes gradually learn to predict interesting events in allocentric space, and spatial attention networks learn to integrate predictive cues and memory traces to plan searches in complex environments.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
The neural dynamics of goal-directed arm movements: A developmental perspective 目标导向手臂运动的神经动力学:一个发展的观点
Stephan K. U. Zibner, Jan Tekülve, G. Schöner
{"title":"The neural dynamics of goal-directed arm movements: A developmental perspective","authors":"Stephan K. U. Zibner, Jan Tekülve, G. Schöner","doi":"10.1109/DEVLRN.2015.7346134","DOIUrl":"https://doi.org/10.1109/DEVLRN.2015.7346134","url":null,"abstract":"We present a neuro-dynamic architecture for the generation of movement of the hand toward a visual target that integrates movement planning based on visual input, movement initiation and termination, the generation of the time courses of virtual trajectories of the hand in Cartesian space, and their transformation into virtual joint trajectories and muscle forces. The architecture captures properties of adult goal-directed arm movements such as bell-shaped velocity profiles and on-line updating of a movement when the target is shifted. The integrated and autonomous nature of the architecture makes it possible to study how motor performance is affected when one of the three core processes, planning, timing, and transformation from end-effector to joint space, are decalibrated to reflect earlier stages of development. We find signatures of the development of reaching such as multiple movement units and curved movement paths in the “young” model.","PeriodicalId":164756,"journal":{"name":"2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127959774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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