Filters








262 Hits in 6.7 sec

Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots

Nick Walker
2019 Zenodo  
( λ $1 (is_a($1 "apple")) ) How do we frame command understanding so that neural semantic parsing methods can work for robotics domains?  ...  Command Anonymized Command Anonymized Logical Form Command Anonymizer Semantic Parser Logical Form Logical Form !  ... 
doi:10.5281/zenodo.3253251 fatcat:7s7skcak4zasbeaodqtuvghkxi

Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots [article]

Nick Walker, Yu-Tang Peng, Maya Cakmak
2019 pre-print
We evaluate this approach in the context of the RoboCup@Home General Purpose Service Robot task, where we have collected a corpus of paraphrased versions of commands from the standardized command generator  ...  To address this challenge, we propose an approach that leverages neural semantic parsing methods in combination with contextual word embeddings to enable the training of a semantic parser with little data  ...  This work was supported by HONDA award "Curious Minded Machines" and the National Science Foundation award IIS-1552427 "CAREER: End-User Programming of General-Purpose Robots."  ... 
doi:10.1007/978-3-030-35699-6_26 arXiv:1907.01115v1 fatcat:ajxiik47znaybhgfsrdlkqv24e

Deep understanding of everyday activity commands for household robots

Sebastian Höffner, Robert Porzel, Maria M. Hedblom, Mihai Pomarlan, Vanja Sophie Cangalovic, Johannes Pfau, John A. Bateman, Rainer Malaka, Katja Hose
2022 Semantic Web Journal  
Several reasoning steps formulate simulation plans, in which robot actions are guided by data gathered using human computation.  ...  Going from natural language directions to fully specified executable plans for household robots involves a challenging variety of reasoning steps.  ...  The research reported in this paper has been (partially) supported by the FET-Open Project #951846 "MUHAI -Meaning and Understanding for Human-centric AI" funded by the EU Program Horizon 2020 as well  ... 
doi:10.3233/sw-222973 fatcat:vpxxjj2tyzeefn23yqs2dw3ti4

Towards intelligent social robots: Current advances in cognitive robotics

Amir Aly, Sascha Griffiths, Francesca Stramandinoli
2017 Cognitive Systems Research  
We propose a hierarchical learning architecture with growing self-organizing neural networks for learning human actions from audiovisual inputs.  ...  The integration of multisensory information plays a crucial role in autonomous robotics.  ...  In order to command the robot system through natural language, we automatically generate grammars to parse and map utterances to concepts in our ontological taxonomy of tasks and objects.  ... 
doi:10.1016/j.cogsys.2016.11.005 fatcat:ptmokg2tbrdblgwhnkbclxecri

Complex event processing for content-based text, image, and video retrieval

Elizabeth K Bowman, Barbara D Broome, V Melissa Holland, Douglas Summers-Stay, Raghuveer M Rao, John Duselis, Jonathan Howe, Bhopinder K Madahar, Anne-Claire Boury-Brisset, Bruce Forrester, Peter Kwantes, Gertjan Burghouts (+2 others)
2016 2016 International Conference on Military Communications and Information Systems (ICMCIS)  
Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services  ...  Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently  ...  Acknowledgments The authors are grateful to all members of the exploratory team and for the support provided by the defense and security research programs in each of their organizations, including the  ... 
doi:10.1109/icmcis.2016.7496546 fatcat:g4omhjgggfb6zdlskc2564jgam

An Imitation Game for Learning Semantic Parsers from User Interaction [article]

Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su
2020 arXiv   pre-print
In this paper, we suggest an alternative, human-in-the-loop methodology for learning semantic parsers directly from users.  ...  A semantic parser should be introspective of its uncertainties and prompt for user demonstration when uncertain.  ...  In this work, we adopt MISP (Yao et al., 2019b) as the back-end interactive semantic parsing framework, given that it is a principled framework for this purpose and can generalize to various kinds of  ... 
arXiv:2005.00689v3 fatcat:x5wymysld5am7itpnyevorhx7e

Deliberation for autonomous robots: A survey

Félix Ingrand, Malik Ghallab
2017 Artificial Intelligence  
The ambition of this survey is to present a global overview of deliberation functions in robotics and to discuss the state of the art in this area.  ...  The survey focuses as much as possible on papers with a clear robotics content and with a concern on integrating several deliberation functions.  ...  Many thanks to several colleagues, in particular Wheeler Ruml and Frédéric Py for their very helpful technical and editorial feedback.  ... 
doi:10.1016/j.artint.2014.11.003 fatcat:e3b5lxppsje6pndmudxqtnzedy

Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

Ying Xing, Hui Shu, Hao Zhao, Dannong Li, Li Guo, Jude Hemanth
2021 Mathematical Problems in Engineering  
Combing with expert scores and objective weights, this survey proposes quantitative evaluation and gives a visual representation for typical detection methods.  ...  This survey analyzes and compares the most important efforts in the botnet detection area in recent years.  ...  In [67] , for Fast-Flux botnets, combined with convolutional neural network (DenseNet) and recurrent neural network (BiLSTM), the DNS data response packet in the network traffic based on analysis, a fast-flux  ... 
doi:10.1155/2021/6640499 fatcat:hkafnnj2cnbzjdbuk6iel3b5cm

From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots [article]

Heung-Yeung Shum, Xiaodong He, Di Li
2018 arXiv   pre-print
Users should want to engage with a social chatbot; as such, we define the success metric for social chatbots as conversation-turns per session (CPS).  ...  As we become the first generation of humans ever living with AI, we have a responsibility to design social chatbots to be both useful and empathetic, so they will become ubiquitous and help society as  ...  The authors are also thankful to colleagues in Microsoft Research AI for the valuable discussions and feedbacks.  ... 
arXiv:1801.01957v2 fatcat:zbnbjq3vi5ejbbpxldsgoup4iu

Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
2022 arXiv   pre-print
, digital twin, and neural interface, and being potential for the metaverse.  ...  Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most  ...  agents to understand user commands.  ... 
arXiv:2202.10336v1 fatcat:35isd745dbaqfnpzthnmbaosue

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Roanna Lun, Wenbing Zhao
2015 International journal of pattern recognition and artificial intelligence  
On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services  ...  As such, it has commanded intense interests in research and development on the Kinect technology.  ...  Acknowledgments The authors wish to sincerely thank the anonymous reviewers, and the editor, for their invaluable suggestions in improving an earlier version of this article.  ... 
doi:10.1142/s0218001415550083 fatcat:7mwojm7lirc3dpyye2zui2kioy

The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives

Rongjun Qin, Armin Gruen
2020 International Journal of Digital Earth  
The authors appreciate the anonymous reviewers for their feedbacks which improved this paper. Disclosure statement No potential conflict of interest was reported by the author(s).  ...  ; (3) Digital Surface Model generation; (4) semantic interpretation.  ...  Data acquisition Data acquisition for photogrammetric purposes has changed dramatically in recent years.  ... 
doi:10.1080/17538947.2020.1805037 fatcat:4glg76465zetzchqz42g6jjgr4

Modeling Creativity: Case Studies in Python [article]

Tom De Smedt
2014 arXiv   pre-print
We will use a hands-on approach with case studies and examples in the Python programming language.  ...  Modeling Creativity examines creativity in a number of different perspectives: from its origins in nature, which is essentially blind, to humans and machines, and from generating creative ideas to evaluating  ...  Acknowledgements The authors of DrawBot, Just van Rossum and Erik van Blokland, define the simplicity of a computational approach to art and design in terms of volume, complexity and variation:  ... 
arXiv:1410.0281v1 fatcat:an7qvt47fbeqjgx5jmhrrnijsm

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
Results will provide a basis for the design of service robots.  ...  study ascertains the emotion perception of different gender consumers towards service robots with different degrees of anthropomorphic appearance in spaces for consumption.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

A 20-Year Community Roadmap for Artificial Intelligence Research in the US [article]

Yolanda Gil, Bart Selman
2019 arXiv   pre-print
for AI research and development over the next two decades.  ...  Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in  ...  In the opposite direction, the AI systems must learn how to translate abstract meanings and plans into numerical commands for generating actions (spoken language, robot motion, etc.)  ... 
arXiv:1908.02624v1 fatcat:jza6i2tzufgeracsou77qukbu4
« Previous Showing results 1 — 15 out of 262 results