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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence [article]

Nicholas Roy, Ingmar Posner, Tim Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Dan Koditschek, Tomas Lozano-Perez, Vikash Mansinghka (+8 others)
2021 arXiv   pre-print
Contrary to viewing embodied intelligence as another application domain for machine learning, here we argue that it is in fact a key driver for the advancement of machine learning technology.  ...  In this article our goal is to highlight challenges and opportunities that are specific to embodied intelligence and to propose research directions which may significantly advance the state-of-the-art  ...  Leslie Kaelbling assisted with several ideas in this paper, and her considerable time and help is also very gratefully acknowledged.  ... 
arXiv:2110.15245v1 fatcat:juxc4tai2jbklpul55loccnp7e

Increasing Generality in Machine Learning through Procedural Content Generation [article]

Sebastian Risi, Julian Togelius
2020 arXiv   pre-print
as from a simulated robot to a robot in the real world.  ...  Additionally, researchers have explored adapting methods from machine learning, optimization, and constraint solving to PCG problems.  ...  We would also like to thank Andrzej Wojcicki, Rodrigo Canaan, Nataniel Ruiz, and the anonymous reviewers for additional comments and suggestions.  ... 
arXiv:1911.13071v2 fatcat:ehbj2rrw5vbyvc4cg6zw3ctln4

Special corner on "cognitive robotics"

Stefan Kopp, Jochen J. Steil
2011 Cognitive Processing  
Acknowledgments We thank all authors for sharing their exciting and important ideas and work.  ...  We are also very grateful to the reviewers that helped to select these papers and provided valuable comments to their authors (  ...  et al. 2010 ). • Incorporating language and communication by strengthening the links between linguistics, artificial intelligence, machine learning, and robotics.  ... 
doi:10.1007/s10339-011-0415-y pmid:21953385 fatcat:kq7uax4xgbbpvaupcn5twt5tmi

Special Issue on Reintegrating Artificial Intelligence and Robotics

Federico Pecora, Masoumeh Mansouri, Nick Hawes, Lars Kunze
2019 Künstliche Intelligenz  
Difficult and diverse challenges emerge from the need to use AI methods with and for robot systems, including bridging the percept-symbol gap, interacting with and learning from humans, integrating task  ...  He reflects here on the design principles of robots and the need for adequate learning mechanisms, and how these are related to embodiment.  ...  Difficult and diverse challenges emerge from the need to use AI methods with and for robot systems, including bridging the percept-symbol gap, interacting with and learning from humans, integrating task  ... 
doi:10.1007/s13218-019-00625-x fatcat:2nv2vc2bg5dkfgzpiclskfdewq

Everyday robotics

Frédéric Kaplan
2005 Proceedings of the 2005 joint conference on Smart objects and ambient intelligence innovative context-aware services: usages and technologies - sOc-EUSAI '05  
After discussing value profiles of commonly used objects, it offers a rapid outline of the challenging issues that must be investigated concerning immediate, short-term and long-term experience with robots  ...  another, changing shape and body in order to be adapted to their various context of use.  ...  Acknowledgements Research funded by Sony CSL Paris with additional support from the ECAGENTS project funded by the Future and Emerging Technologies programme (IST-FET) of the European Community under EU  ... 
doi:10.1145/1107548.1107570 fatcat:cieghozzrraylgibx7wkq3yuwa

ROBOTICS AND ARTIFICIAL INTELLIGENCE: THE ROLE OF AI IN ROBOTS

Sharobidinov Nurmukhamad Nasirullo O'g'li
2022 Zenodo  
The reason is that the notion of "intelligent machine" naturally leads to robots and Robotics.  ...  One might argue that not every machine is a robot, and certainly Artificial Intelligence is concerned also with virtual agents (i.e. agents that are not embodied in a physical machine).  ...  One might argue that not every machine is a robot, and certainly Artificial Intelligence is concerned also with virtual agents (i.e. agents that are not embodied in a physical machine).  ... 
doi:10.5281/zenodo.6683864 fatcat:lfouawdkinbxtoommwqloynrqu

Socially intelligent robots: dimensions of human-robot interaction

K. Dautenhahn
2007 Philosophical Transactions of the Royal Society of London. Biological Sciences  
Social intelligence in robots has a quite recent history in artificial intelligence and robotics.  ...  The aim of this work is to develop social rules for robot behaviour (a 'robotiquette') that is comfortable and acceptable to humans.  ...  Interacting with physically embodied and socially situated machines is different from interaction via computer interfaces.  ... 
doi:10.1098/rstb.2006.2004 pmid:17301026 pmcid:PMC2346526 fatcat:jw3i6pojvzgwlfjntfffakdiia

From Babies to Robots: The Contribution of Developmental Robotics to Developmental Psychology

Angelo Cangelosi, Matthew Schlesinger
2018 Child Development Perspectives  
The latest developments in AI and machine learning, and the parallel advances in robotics, have very recently contributed to a shift in the approach to modeling human intelligence.  ...  These innovations, accompanied by the new emphasis on embodied and grounded cognition in AI and psychology, have led to the establishment of the field of Developmental Robotics.  ...  Acknowledgements The work of Angelo Cangelosi was supported by the EU H2020 Marie Skłodowska-Curie projects APRIL (674868) and DCOMM (676063).  ... 
doi:10.1111/cdep.12282 fatcat:m53ecxmrx5cgjeushvsseevqhy

Human robot interaction

2016 2016 9th International Conference on Human System Interactions (HSI)  
artificial intelligence, robotics, natural language understanding, and computer vision), social sciences (psychology, cognitive science, communications, anthropology, and human factors), and humanities  ...  Human-robot interaction (HRI) is the interdisciplinary study of interaction dynamics between humans and robots.  ...  In the broader field of robot learning, a variety of methods are being developed for robot instruction from human demonstration [42, 66, 94, 100] , from reinforcement learning [132] , and from genetic  ... 
doi:10.1109/hsi.2016.7529627 fatcat:kpuxosmturgjtbjkbiwii3wiaq

Human-robot interaction

1993 Applied Ergonomics  
artificial intelligence, robotics, natural language understanding, and computer vision), social sciences (psychology, cognitive science, communications, anthropology, and human factors), and humanities  ...  Human-robot interaction (HRI) is the interdisciplinary study of interaction dynamics between humans and robots.  ...  In the broader field of robot learning, a variety of methods are being developed for robot instruction from human demonstration [42, 66, 94, 100] , from reinforcement learning [132] , and from genetic  ... 
doi:10.1016/0003-6870(93)90085-n fatcat:2h5ywuzqkzffbphfoy7ktd56g4

Performative Body Mapping for Designing Expressive Robots

Rob Saunders, Petra Gemeinboeck
2018 International Conference on Computational Creativity  
This paper explores the challenges and opportunities of skill acquisition for creative robotics, where the required knowledge is highly embodied.  ...  We describe the results from a series of workshops to design and train a non-humanlike robot through embodied explorations of possible forms and movements.  ...  possible, and (2) provide data for the robot to learn from.  ... 
dblp:conf/icccrea/SaundersG18 fatcat:f4iwnbzcdvefhcgrszaqmeihey

Human-Robot Collaboration: From Psychology to Social Robotics [article]

Judith Bütepage, Danica Kragic
2017 arXiv   pre-print
For robots to interact with humans autonomously they need active decision making that takes human partners into account.  ...  Additionally, we study the advances made by the robotic community into the direction of embodied HRC. We focus on the mechanisms that are required for active, physical human-robot collaboration.  ...  From embodied intelligence to social cognition Since the second half of the 1980, the concept of embodied intelligence has revolutionized artificial intelligence (7) .  ... 
arXiv:1705.10146v1 fatcat:skqfe6uxefhtvcd7lmzl7hyzvy

From social brains to social robots: applying neurocognitive insights to human–robot interaction

Emily S. Cross, Ruud Hortensius, Agnieszka Wykowska
2019 Philosophical Transactions of the Royal Society of London. Biological Sciences  
Critical questions are explored from a transdisciplinary perspective centred around four core topics in HRI: technical solutions for HRI, development and learning for HRI, robots as a tool to study social  ...  agents and the extent to which the human brain incorporates intelligent machines into our social milieu.  ...  Apart from contribution to social and cognitive neuroscience, her research contributes to the development of artificial intelligence for social robotics, and the design of robots for societal needs (healthcare  ... 
doi:10.1098/rstb.2018.0024 pmid:30852997 pmcid:PMC6452245 fatcat:evf7pfh45zclhhd3esmrd3rkam

Human–Robot Interaction

Thomas B. Sheridan
2016 Human Factors  
Background: Robots have evolved from continuous human-controlled master-slave servomechanisms for handling nuclear waste to a broad range of robots incorporating artificial intelligence for many applications  ...  The current status of human-robot interaction (HRI) is reviewed, and key current research challenges for the human factors community are described.  ...  Understanding how people of different ages and abilities best learn from robots remains an important challenge that human factors should contribute to.  ... 
doi:10.1177/0018720816644364 pmid:27098262 fatcat:7ig72rehrjdnxcwvkt7vl7jwae

Lessons From Joint Improvisation Workshops for Musicians and Robotics Engineers

Anthonia Carter, Marianthi Papalexandri-Alexandri, Guy Hoffman
2021 Frontiers in Robotics and AI  
We report on a series of workshops with musicians and robotics engineers aimed to study how human and machine improvisation can be explored through interdisciplinary design research.  ...  In the first workshop, we posed two leading questions to participants. First, what can AI and robotics learn by how improvisers think about time, space, actions, and decisions?  ...  AUTHOR CONTRIBUTIONS All authors contributed to the development of the joint workshop; AC and GH contributed to the analysis of the data and to the writing of the article.  ... 
doi:10.3389/frobt.2020.576702 pmid:33898527 pmcid:PMC8058629 fatcat:bqgwu46tqjecjemt5mjajy2m4u
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