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An Episodic Long-Term Memory for Robots: The Bender Case [chapter]

María-Loreto Sánchez, Mauricio Correa, Luz Martínez, Javier Ruiz-del-Solar
2015 Lecture Notes in Computer Science  
As a proof of concept, the implementation of an episodic long-term memory for the Bender robot is described.  ...  The main goal of this paper is to propose a framework for providing an episodic long-term memory for a robot, which includes methods for acquiring, storing, updating, managing and using episodic information  ...  Proof of Concept: The Bender Case For the implementation of the proposed framework, an episodic long-term memory model has been developed and tested in the social robot Bender [17] [18].  ... 
doi:10.1007/978-3-319-29339-4_22 fatcat:khuyrzpdcbb6bm4k5ntbeaws6y

Emerging Cognitive Intervention Technologies to Meet the Needs of an Aging Population: A Systematic Review

Fady Alnajjar, Sumayya Khalid, Alistair A. Vogan, Shingo Shimoda, Rui Nouchi, Ryuta Kawashima
2019 Frontiers in Aging Neuroscience  
A second study also examined the evolution of socially assistive robots (SAR) and their effectiveness at administering cognitive training for older adults.  ...  Conclusion: It can be concluded that CCT is beneficial for older adults and though there are drawbacks to this approach they are overcome by the introduction of robots into the training process.  ...  memory • Working memory • Improvement in short-term memory, together with transfer of training gains to long-term episode memory tasks • No significant improvement in working memory • A small  ... 
doi:10.3389/fnagi.2019.00291 pmid:31798439 pmcid:PMC6821684 fatcat:ijjnoyvpqra5lldf5ejlqibhyq

A low-power, distributed, pervasive healthcare system for supporting memory

Dirk de Jager, Alex L. Wood, Geoff V. Merrett, Bashir M. Al-Hashimi, Kieron O'Hara, Nigel R. Shadbolt, Wendy Hall
2011 Proceedings of the First ACM MobiHoc Workshop on Pervasive Wireless Healthcare - MobileHealth '11  
A memorable action may be performed. iRemember screenshot from iRemember: a Personal, Long-term Memory Prosthesis; Vemuri, Schmandt, and Bender(2006)ParcTab photo adapted from Forget-me-not: intimate computing  ...  You are going for lunch together tomorrow at one o'clock. Detect we are indoors. Calendar shows an appointment in fifteen minutes. Remind the user of the appointment and where they are.  ... 
doi:10.1145/2007036.2007043 dblp:conf/mobihoc/JagerWMAOSH11 fatcat:n3wv4kkoy5ardiuclddsyebta4

Pervasive Medical Devices: Less Invasive, More Productive

D. Geer
2006 IEEE pervasive computing  
W ireless, robotic, and computerbacked medical devices are interfacing across the landscape, racing to accident scenes, performing surgery, and monitoring long-term care for young and old alike.  ...  With the potential for improved healthcare and long-term cost savings, pervasive devices offer healthcare some intriguing new alternatives.  ...  The devices offer another long-term benefit, by providing closer blood sugar monitoring. This helps those monitored correct elevated levels more quickly and delay amputations, according to Schweda.  ... 
doi:10.1109/mprv.2006.37 fatcat:a65ifbrqenfynjgclgezfwbjby

Abstract Intelligence

Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto (+2 others)
2017 International Journal of Cognitive Informatics and Natural Intelligence  
Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, cognitive robots, cognitive neural networks, and cognitive learning.  ...  The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.  ...  in the field, with approaches such as Long-Short Term Memory models and Connectionist Temporal Classification.  ... 
doi:10.4018/ijcini.2017010101 fatcat:nin4qyytt5bm3accgoy57sm2ya

Community interpreting, translation, and technology

Christopher D. Mellinger, Nike K. Pokorn
2018 Translation and Interpreting Studies  
Responsabilités du Robot".  ...  Anne-Sophie Rigaud, head of the gerontology department at the Broca hospital, and her team, for providing access to the LUSAGE Living Lab facilities, hence allowing the authors to carry out this study.  ...  Towards episodic memory-based long-term affective interaction with a human-like robot. In RO-MAN, 2010 IEEE, pages 452-457. IEEE. Lakatos, G., Gácsi, M., Tajti, F., Koay, K.  ... 
doi:10.1075/tis.00019.int fatcat:3gdc2iojrze4dhyvvs52fo7cuu

SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents [article]

Grgur Kovač, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021 arXiv   pre-print
However, current approaches focus on language as a communication tool in very simplified and non-diverse social situations: the "naturalness" of language is reduced to the concept of high vocabulary size  ...  Within the Deep Reinforcement Learning (DRL) field, this objective motivated multiple works on embodied language use.  ...  l'Adour, and B) the HPC resources of IDRIS under the allocation 2020-[A0091011996] made by GENCI.  ... 
arXiv:2107.00956v3 fatcat:6jyi3eivtfctbl2vl66se2jy3q

Virtual Trauma: Prospects for Automediality

Mick Broderick, Stuart Marshall Bender, Tony McHugh
2018 M/C Journal  
Lucy Suchman and colleagues invoke these ideas in an analysis of a YouTube video of some apparently humiliating human interactions with the MIT created AI-robot Mertz.  ...  Yet the current use of the term "empathy" in VR, AI and automedial forms of communication seems to be principally focused on the capacity for the user-viewer to ameliorate negatively perceived emotions  ...  Lucy Suchman and colleagues invoke these ideas in an analysis of a YouTube video of some apparently humiliating human interactions with the MIT created AI-robot Mertz.  ... 
doi:10.5204/mcj.1390 fatcat:hxvvy7v36fakjgxdmvjxj7o4de

SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents [article]

Grgur Kovač, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021 arXiv   pre-print
We then study the limits of a recent SOTA Deep RL approach when tested on a first grid-world environment from the upcoming SocialAI, a benchmark to assess the social skills of Deep RL agents.  ...  Current approaches focus on language as a communication tool in very simplified and non diverse social situations: the "naturalness" of language is reduced to the concept of high vocabulary size and variability  ...  While these environments allow meaningful abstractions, they neglect the importance of embodiment for language learning, which has long been identified as an essential component for proper language understanding  ... 
arXiv:2104.13207v1 fatcat:kbq53mqfzzei5cqvqca4sho7ba

Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2020 International Journal of Computer Vision  
The role of robots in society keeps expanding, bringing with it the necessity of interacting and communicating with humans.  ...  On the similar lines, we also introduce spatial memory scheme to encode the local directional transitions.  ...  Acknowledgements This work is funded by Toyota Motor Europe via the research Project TRACE-Zurich.  ... 
doi:10.1007/s11263-020-01374-3 fatcat:dtnss4zihzbizhcbmhrqnnpkee

Locomotion Control With Frequency and Motor Pattern Adaptations

Mathias Thor, Beck Strohmer, Poramate Manoonpong
2021 Frontiers in Neural Circuits  
The results show that the two adaptation mechanisms can be combined for adaptive locomotion control of a hexapod robot in a complex environment.  ...  Existing adaptive locomotion control mechanisms for legged robots are usually aimed at one specific type of adaptation and rarely combined with others.  ...  This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).  ... 
doi:10.3389/fncir.2021.743888 pmid:34899196 pmcid:PMC8655109 fatcat:vnoiexdpv5gw7ibzztxhcxluvy

Case Report: Adolescent With Autism and Gender Dysphoria

Sanja Zupanič, Ivona Kruljac, Mojca Šoštarič Zvonar, Maja Drobnič Radobuljac
2021 Frontiers in Psychiatry  
We present the case of a birth-assigned female adolescent with GD, who enrolled in our clinic at the age of 16.5 years with "being transgender" as her main complaint accompanied by a wish for surgical  ...  At the time of writing, he is 20 years old, waiting for bilateral mastectomy and receiving regular triptorelin depot and testosterone depot intramuscular injections.  ...  He believed that his main wish (for mastectomy) was not being heard by his parents, his therapist and the medical council for a long time.  ... 
doi:10.3389/fpsyt.2021.671448 pmid:34122187 pmcid:PMC8187799 fatcat:onyjt5epwvgrpn35zjpa3rmvam

Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory [article]

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2020 arXiv   pre-print
The role of robots in society keeps expanding, bringing with it the necessity of interacting and communicating with humans.  ...  On the similar lines, we also introduce spatial memory scheme to encode the local directional transitions.  ...  Acknowledgement: This work is funded by Toyota Motor Europe via the research project TRACE-Zurich.  ... 
arXiv:1910.02029v2 fatcat:kvaeiadr3nhrjecu73shqq7jh4

We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics [article]

Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa
2021 arXiv   pre-print
language meaning they are modelling and in terms of the aspects of the application for which they are used.  ...  In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural  ...  Acknowledgments The research reported in this paper was supported by a grant from the Swedish Research Council (VR project 2014-39) for the establishment of the Centre for Linguistic Theory and Studies  ... 
arXiv:2109.04949v1 fatcat:am723u3rtraknip6lw6rn5xu2a

An Anatomically Constrained Model for Path Integration in the Bee Brain

Thomas Stone, Barbara Webb, Andrea Adden, Nicolai Ben Weddig, Anna Honkanen, Rachel Templin, William Wcislo, Luca Scimeca, Eric Warrant, Stanley Heinze
2017 Current Biology  
Together these findings 102 strongly suggest that the CX serves as an internal compass in bees as well. 103 104 Optic flow sensing in the bee CX 105 The second requirement for path integration is an odometer  ...  Bees use vision for this taska celestial-cue based visual compass, and an optic-flow 9 based visual odometerbut the underlying neural integration mechanisms are unknown.  ...  Line: trajectory of the robot; circles: position 821 estimate based on CPU4 neuron readout. Inset: Robotic platform for circuit implementation.  ... 
doi:10.1016/j.cub.2017.08.052 pmid:28988858 pmcid:PMC6196076 fatcat:puozzf75d5e5ximui55dwzajqe
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