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Affective Dialogue Communication System with Emotional Memories for Humanoid Robots [chapter]

M. S. Ryoo, Yong-ho Seo, Hye-Won Jung, H. S. Yang
2005 Lecture Notes in Computer Science  
In the perception system, we implemented a bimodal emotion recognizer for recognizing emotions.  ...  Memories are vital in human interactions. To interact sociably with a human, a robot should not only recognize and express emotions like a human, but also share emotional experience with humans.  ...  Acknowledgement This research was partly supported by the Korea Ministry of Science and Technology through the Brain Science Research Center and by the Information Technology Research Center (ITRC) Support  ... 
doi:10.1007/11573548_105 fatcat:wmqhmgismjhilffp43e3vyn5pq

Intuitive Tasks Planning Using Visuo-Tactile Perception for Human Robot Cooperation [article]

Sunny Katyara, Fanny Ficuciello, Tao Teng, Fei Chen, Bruno Siciliano, Darwin G. Caldwell
2021 arXiv   pre-print
Following such instinct, this research proposes to formulate intuitive robotic tasks following human viewpoint by incorporating visuo-tactile perception.  ...  Designing robotic tasks for co-manipulation necessitates to exploit not only proprioceptive but also exteroceptive information for improved safety and autonomy.  ...  Exploiting visuo-tactile information in cluttered environment for human-robot joint carrying task, a framework is proposed in [5] .  ... 
arXiv:2104.00342v1 fatcat:dksdhkm2tnambkf3mt4bkgpzna

Emotional Intelligence Robotics to Motivate Interaction in E-Learning: An Algorithm

Dalia khairy, Salem Alkhalaf, M. F. Areed, Mohamed A. Amasha, Rania A. Abougalala
2021 International Journal of Advanced Computer Science and Applications  
The development of emotional intelligence robotics in the learning environment plays valuable support for social interaction among students.  ...  Emotional intelligence robots should be scalable to recognize emotions, appear empathetic in learning situations, and enrich the confidence with students for active interaction.  ...  It presented a proposed framework EREIL, as a student supporter for social interaction in the learning environment.  ... 
doi:10.14569/ijacsa.2021.0120619 fatcat:ibdzaarlw5dflllrcncfthnw5a

From Humans and Back: a Survey on Using Machine Learning to both Socially Perceive Humans and Explain to Them Robot Behaviours

Adina M. Panchea, François Ferland
2020 Current Robotics Reports  
There are papers which report models for robots to imitate humans and also for humans to imitate robots.  ...  Others use classical methods and propose new and/or improved ones which led to better human-robot interaction performances.  ...  Social Perception Because being able to interact is at the core of social robots, SP is very important in HRI to provide a connection between a social robot and its surrounding environment.  ... 
doi:10.1007/s43154-020-00013-6 fatcat:l5dneve33faolgvlvf3ddqkv24

The Human Wearable Perception System: a Human-Robot Collaboration Application

Claudia Latella, Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Silvio Traversaro, Daniele Pucci
2020 Zenodo  
For this reason we introduced a novel framework endowing robots with the ability to perceive humans while fulfilling a cooperative task.  ...  The perception that the robots have of the human collaborators during a shared task is very limited due to unpredictability of the human movements [1].  ...  For this reason we introduced a novel framework endowing robots with the ability to perceive humans while fulfilling a cooperative task.  ... 
doi:10.5281/zenodo.4781153 fatcat:3pyth7qoq5am3njigxiexhrtba

The role of attention in robot self-awareness

R. Novianto, M.-A. Williams
2009 RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication  
A robot may not be truly self-aware even though it can have some characteristics of self-awareness, such as having emotional states or the ability to recognize itself in the mirror.  ...  We define self-awareness in robots to be characterized by the capacity to direct attention toward their own mental state.  ...  ACKNOWLEDGMENT We would like to thank Benjamin Johnston and Birger Johansson for their helpful comments and suggestions.  ... 
doi:10.1109/roman.2009.5326155 dblp:conf/ro-man/NoviantoW09 fatcat:std2oprpjnb6rh5yamki3k2jma

Value of social robots in services: social cognition perspective

Martina Čaić, Dominik Mahr, Gaby Oderkerken-Schröder
2019 Journal of Services Marketing  
This conceptual paper considers social robots in elderly care services and outlines ways in which their human-like affect and cognition influence users' social perceptions and anticipations of robots'  ...  Findings -Three theoretical propositions construct an iterative framework of users' evaluations of social robots in services.  ...  Third, autonomy measures the degree of human intervention and support needed for the robot to function properly.  ... 
doi:10.1108/jsm-02-2018-0080 fatcat:g7gl7kxvqzhhjpxk6y4ofpjeba

Perceptual Models of Human-Robot Proxemics [chapter]

Ross Mead, Maja J. Matarić
2015 Springer Tracts in Advanced Robotics  
These models have been integrated into a situated autonomous proxemic robot controller, in which the robot selects interagent pose parameters to maximize its expectation to recognize natural human speech  ...  To enable socially situated human-robot interaction, a robot must both understand and control proxemics-the social use of spaceto employ communication mechanisms analogous to those used by humans.  ...  This work is supported in part by an NSF Graduate Research Fellowship, the NSF National Robotics Initiative (IIS-1208500), NSF IIS-1117279 and CNS-0709296 grants, and the PR2 Beta Program.  ... 
doi:10.1007/978-3-319-23778-7_18 fatcat:chw4yndd4ffq3k5fzlgbrpe5fi

Exploring the Implications of Virtual Human Research for Human-Robot Teams [chapter]

Jonathan Gratch, Susan Hill, Louis-Philippe Morency, David Pynadath, David Traum
2015 Lecture Notes in Computer Science  
We consider challenges in advancing the effectiveness of human-robot teams makes recommendations for enhancing this by facilitating synergies between robotics and virtual human research.  ...  This article briefly explores potential synergies between the fields of virtual human and human-robot interaction research.  ...  This work is supported by the Army Research Laboratory.  ... 
doi:10.1007/978-3-319-21067-4_20 fatcat:knrmpnwm4nc6liu2sfsnr5pc74

Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems

Dongcai Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2017 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
In this paper, we use a probabilistic commonsense reasoner to "guide" our POMDP-based dialog manager, and present a principled, multimodal dialog management (MDM) framework that allows the robot's dialog  ...  The MDM approach has been implemented and evaluated both in simulation and on a real mobile robot using guidance tasks.  ...  Accordingly, there is the need to equip robots with the same kind of capabilities to achieve more natural human-robot interaction (HRI).  ... 
doi:10.1109/iros.2017.8206570 dblp:conf/iros/LuZSC17 fatcat:sc5wfcswrjf3fgksn5pmddodem

Affective Communication Model with Multimodality for Humanoids [chapter]

Hyun Seung, Yong-Ho Seo, Il-Woong Jeong, Ju-Ho Lee
2007 Humanoid Robots, Human-like Machines  
Acknowledgement This research was partially supported by the Korea Ministry of Commerce, Industry and Energy(MOCIE) through the Brain Science Research Project and Health-Care Robot Project and by the Korea  ...  Emotion recognition plays an important role in the perception system because our system enables a robot to recognize human partner's emotional status, and behave appropriately considering the recognized  ...  To interact sociably with a human, we are going to concentrate on building a real humanoid robot in terms of thinking and feeling that can not only recognize and express emotions like a human, but also  ... 
doi:10.5772/4822 fatcat:4wfoaxsv35dadn3kjw6gd6yiaa

A survey of robot learning from demonstrations for Human-Robot Collaboration [article]

Jangwon Lee
2017 arXiv   pre-print
In this regard, many researchers have shown an increased interest in to make better communication framework between robots and humans because communication is a key issue to apply LfD paradigm for human-robot  ...  In this paper, I present a survey of recent research in this area while focusing on studies for human-robot collaborative tasks.  ...  Jim Mainprice and Dmitry Berenson presented a new framework to recognize humans intentions as early as possible [24] .  ... 
arXiv:1710.08789v1 fatcat:bch3zc6tkfh4vawut36qbmgxde

Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications

Sumaira Manzoor, Yuri Goncalves Rocha, Sung-Hyeon Joo, Sang-Hyeon Bae, Eun-Jin Kim, Kyeong-Jin Joo, Tae-Yong Kuc
2021 Applied Sciences  
In this context, ontology-based knowledge representation and reasoning (KR & R) techniques appear as a powerful tool and provide sophisticated domain knowledge for processing complex robotic tasks in a  ...  for autonomous robots.  ...  ARBI Uses symbolic representation for a better understanding of the environment. Develops an integrated model based on the ontology. Endows the robot to perform human-robot interactive services.  ... 
doi:10.3390/app11104324 fatcat:6jb3pmzhjnhcxpwvgf4ttkmyga

Music-aided affective interaction between human and service robot

Jeong-Sik Park, Gil-Jin Jang, Yong-Ho Seo
2012 EURASIP Journal on Audio, Speech, and Music Processing  
This study proposes a music-aided framework for affective interaction of service robots with humans.  ...  We propose a novel approach to identify human emotions in the perception system.  ...  The best approach for this is to organize a control architecture or a framework for affective interaction between a human and a robot.  ... 
doi:10.1186/1687-4722-2012-5 fatcat:o2b2lxr4w5gsbjhv2fso7haaka

Autonomous human–robot proxemics: socially aware navigation based on interaction potential

Ross Mead, Maja J Matarić
2016 Autonomous Robots  
and gesture recognition rates as the robot enters into and engages in faceto-face social encounters with a human user-illustrating their efficacy to support richer robot perception and autonomy in HRI  ...  The framework and models were implemented as autonomous proxemic behavior systems for sociable robots, including: (1) a sampling-based method for robot proxemic goal state estimation with respect to human-robot  ...  Acknowledgments This work was supported in part by an NSF Graduate Research Fellowship, the NSF National Robotics Initiative Grant IIS-1208500, and NSF Grants CNS-0709296 and CNS-1513275.  ... 
doi:10.1007/s10514-016-9572-2 fatcat:3u6ta3ru6rbote4zrarabhkoum
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