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Large-scale, Small-scale Systems [chapter]

Jim Austin, Dave Cliff, Robert Ghanea-Hercock, Andy Wright
2006 Cognitive Systems - Information Processing Meets Brain Science  
The objective of the project is to examine recent progress in two major areas of research -computer science and neuroscience, and their related fields -and to understand whether progress in understanding  ...  cognition in living systems has new insights to offer those researching the construction of artificial cognitive systems.  ...  Acknowledgements The authors thank Flaviu Adrian Marginean for his help and background work in the construction of this document.  ... 
doi:10.1016/b978-012088566-4/50005-2 fatcat:mr7mjjmsingjxoiia3yrblsvbq

Reports of the AAAI 2011 Conference Workshops

Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher Geib, Floriana Grasso, Nancy Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld (+21 others)
2012 The AI Magazine  
Human Computation; Human-Robot Interaction in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong  ...  : The Conquest of Complexity; AI for Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Computational Models of Natural Argument; Generalized Planning;  ...  Game theory adds to the decision-theoretic framework the idea of multiple agents interacting within a common environment.  ... 
doi:10.1609/aimag.v33i1.2390 fatcat:ux56aljo35f4zcbjur3spdz27y

Augmented Virtual Reality: Combining Crowd Sensing and Social Data Mining with Large-Scale Simulation Using Mobile Agents for Future Smart Cities

Stefan Bosse, Uwe Engel
2019 Proceedings (MDPI)  
Mobile agents are closely related to bots that can interact with humans via chat blogs.  ...  The simulation world interacts with real world environments, humans, machines, and other virtual worlds in real-time.  ...  Agent-based modelling and simulation is a suitable methodology to study the interaction and behavior of large groups of relevant human actors, hardware, and software robots, using methods with inherent  ... 
doi:10.3390/ecsa-5-05762 fatcat:4ivcqteugrhqpfqmrihe63c4vi

Navigation in Large Groups of Robots

Julio Asiain, Julio Godoy
2020 Current Robotics Reports  
Advances in the standardization of robot hardware and software are increasing interest for research in navigation for large groups of robots.  ...  Then, we focus on recent articles that deal with the problem of moving a large number of robots in virtual or physical space. Finally, we summarize our main findings and emphasize the challenges.  ...  Learning-Based Approaches Taking advantage of the recent significant progress in machine learning methods for complex problems, a series of works has been proposed that allows a large-scale robot system  ... 
doi:10.1007/s43154-020-00017-2 fatcat:u6qpklnrwrc5heao7bqraaqkzi

Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy

Stefanos Nikolaidis, Julie Shah
2013 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)  
Cross-training is an interactive planning method in which a human and a robot iteratively switch roles to learn a shared plan for a collaborative task.  ...  We design and evaluate human-robot cross-training, a strategy widely used and validated for effective human team training.  ...  Based on this encoding, we formulated human-robot cross-training and evaluated it in a large-scale experiment of 36 subjects.  ... 
doi:10.1109/hri.2013.6483499 fatcat:eqdpoqdymzgmjp3ccz4mmuy37y

Evolving grounded communication for robots

Luc Steels
2003 Trends in Cognitive Sciences  
Apart from its technological interest in building novel applications in the domain of human-robot or robot -robot interaction, this research is of interest to the many disciplines concerned with the origins  ...  The objective is to come up with precise operational models of how communities of agents, equipped with a cognitive apparatus, a sensori-motor system, and a body, can arrive at shared grounded communication  ...  It is therefore not surprising that it has been adopted as a framework for studying the origins and evolution of communication systems in populations of agents, not only for performing large-scale computational  ... 
doi:10.1016/s1364-6613(03)00129-3 pmid:12860189 fatcat:jbryqsduwzcszecqjgzttaaqim

Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions [article]

Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick, Chayan Sarkar
2021 arXiv   pre-print
In this article, we investigate one such social behavior for collocated robots. Imagine a group of people is interacting with each other and we want to join the group.  ...  To possess such a quality, first, a robot needs to determine the formation of the group and then determine a position for itself, which we humans do implicitly.  ...  The results are evaluated with people only. Fig. 10 . 10 Generic framework for a learning based AI method of detecting group interactions and formations. groups.  ... 
arXiv:2108.06181v2 fatcat:walfqfi55fe4fja3imr4qu6asu

The Morphospace of Consciousness [article]

Xerxes D. Arsiwalla, Ricard Sole, Clement Moulin-Frier, Ivan Herreros, Marti Sanchez-Fibla, Paul Verschure
2018 arXiv   pre-print
Given recent proposals to synthesize consciousness, a generic complexity-based conceptualization provides a useful framework for identifying defining features of conscious & synthetic systems.  ...  We identify four types of consciousness, based on embodiment: (i) biological consciousness, (ii) synthetic consciousness, (iii) group consciousness (resulting from group interactions), & (iv) simulated  ...  Acknowledgments We thank Riccardo Zucca and Sytse Wierenga for help with graphics.  ... 
arXiv:1705.11190v3 fatcat:n6yjrqzjq5dzhgtxemuqjwka2a

AIs 10 to Watch: The Future of AI

2018 IEEE Intelligent Systems  
Her research occurs at in the intersection of robotics, natural language processing, and machine learning, and their application to human-robot interaction.  ...  Building advanced intelligent agents that interact robustly with nonspecialists in various domains requires insights from robotics, machine learning, and natural language processing.  ... 
doi:10.1109/mis.2018.012001549 fatcat:mfx4dnb5lrgjbizilzh2anbcz4

Evaluation methods for user-centered child-robot interaction

Vicky Charisi, Daniel Davison, Dennis Reidsma, Vanessa Evers
2016 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)  
This review examines recent methodological approaches for the evaluation of child-robot interaction in learning settings.  ...  We use this framework to highlight current trends and needs for the field and to contextualize the methodological directions for child-robot interaction.  ...  Finally, while the use of large-scale surveys seems to inform research in human-robot interaction with adults, it does not seem to be common among the methods of self-assessment for children.  ... 
doi:10.1109/roman.2016.7745171 dblp:conf/ro-man/CharisiDRE16 fatcat:bywwoy4nsza4nesaxacxnysq3a

Cognitive science as a source of forward and inverse models of human decisions for robotics and control [article]

Mark K. Ho, Thomas L. Griffiths
2021 arXiv   pre-print
In doing so, we aim to provide readers with a glimpse of the range of frameworks, methodologies, and actionable insights that lie at the intersection of cognitive science and control research.  ...  Those designing autonomous systems that interact with humans will invariably face questions about how humans think and make decisions.  ...  Similarly, reward-rational learning [110] has been proposed as a framework for characterizing different types of human-robot interaction problems (e.g., learning from demonstrations, feedback, or examples  ... 
arXiv:2109.00127v1 fatcat:jku3n3irhraabox7biizsu2jo4

Embodiment and Interaction in Socially Intelligent Life-Like Agents [chapter]

Kerstin Dautenhahn
1999 Lecture Notes in Computer Science  
The project AURORA for children with autism which addresses issues of both human and robotic social agents is introduced.  ...  A 'dancing with strangers' experiment shows how the same principles can be applied to physical robot-human interaction.  ...  Acknowledgements My special thanks to Aude Billard, Chrystopher Nehaniv and Simone Strippgen for discussions and collaborative work on issues which are discussed in this paper.  ... 
doi:10.1007/3-540-48834-0_7 fatcat:t3aaxrdlljd3hpgfzkwsdwtdeq

Core Challenges of Social Robot Navigation: A Survey [article]

Christoforos Mavrogiannis, Francesca Baldini, Allan Wang, Dapeng Zhao, Pete Trautman, Aaron Steinfeld, Jean Oh
2021 arXiv   pre-print
These challenges have motivated a great amount of research resulting in important developments for the fields of robotics and human-robot interaction over the past three decades.  ...  Robot navigation in crowded public spaces is a complex task that requires addressing a variety of engineering and human factors challenges.  ...  Army Ground Vehicle Systems Center & Software Engineering Institute at Carnegie Mellon University (PWP 6-652A4 DDCD GVSC), and the Air Force Office of Scientific Research (AFOSR FA2386-17-1-4660).  ... 
arXiv:2103.05668v2 fatcat:qc2mr4ssxbahxj5p4xzqexnhye

Learning in behavior-based multi-robot systems: policies, models, and other agents

Maja J. Matarić
2001 Cognitive Systems Research  
We overview a variety of methods we have demonstrated for learning in the multi-robot problem domain.  ...  This paper describes how the use of behaviors as the underlying control representation provides a useful encoding that both lends robustness to control and allows abstraction for handling scaling in learning  ...  Behavior-based coordination tional conference on machine learning (ICML-2000), Stanford of large scale formations.  ... 
doi:10.1016/s1389-0417(01)00017-1 fatcat:y3vlfvkqszbc7p3jphhcowkoqy

Perception: Insights from the sensori-motor approach

L. Hafemeister, P. Gaussier, M. Maillard, S. Boucenna, C. Giovannangeli
2010 2010 2nd European Workshop on Visual Information Processing (EUVIP)  
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  ...  Based on psychological assumptions, we propose to explore the concept of perception, infer formalization in the dynamical system framework and quantitatively analyze it on robotic platforms using a unique  ...  necessary mechanisms for the emergence of a percept in an agent in interaction with its environment.  ... 
doi:10.1109/euvip.2010.5699148 dblp:conf/euvip/HafemeisterGMBG10 fatcat:a3bz5ve3onbtngdorpzf5daldy
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