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Artificial Intelligence for Long-Term Robot Autonomy: A Survey
[article]
2018
arXiv
pre-print
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Some of these have been investigated by sub-disciplines of Artificial Intelligence (AI) including navigation & mapping, perception, knowledge representation & reasoning, planning, interaction, and learning ...
In this paper, we survey and discuss AI techniques as 'enablers' for long-term robot autonomy, current progress in integrating these techniques within long-running robotic systems, and the future challenges ...
This includes navigation & mapping, perception, knowledge representation & reasoning, planning, interaction, and learning.
A. ...
arXiv:1807.05196v1
fatcat:5hi5seffdbhlbilbgoxb3ejmjm
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
2018
IEEE Robotics and Automation Letters
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Some of these have been investigated by sub-disciplines of Artificial Intelligence (AI) including navigation & mapping, perception, knowledge representation & reasoning, planning, interaction, and learning ...
In this paper, we survey and discuss AI techniques as 'enablers' for long-term robot autonomy, current progress in integrating these techniques within long-running robotic systems, and the future challenges ...
This includes navigation & mapping, perception, knowledge representation & reasoning, planning, interaction, and learning.
A. ...
doi:10.1109/lra.2018.2860628
dblp:journals/ral/KunzeHDHK18
fatcat:7unhzdtaiffsdpkgywhl4c63oq
A survey of knowledge representation in service robotics
2019
Robotics and Autonomous Systems
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2019 pre-print arXiv:1807.02192v2 fatcat:m46vu2gnevcujaoee55h43siemOther Versions
Within the realm of service robotics, researchers have placed a great amount of effort into learning, understanding, and representing motions as manipulations for task execution by robots. ...
The task of robot learning and problem-solving is very broad, as it integrates a variety of tasks such as object detection, activity recognition, task/motion planning, localization, knowledge representation ...
We would also like to thank our reviewers for their insight and comments that greatly improved this manuscript.
References ...
doi:10.1016/j.robot.2019.03.005
fatcat:yc6zheqqdvfixdvcr7elyvlkgq
Learning from Demonstration (Programming by Demonstration)
[chapter]
2018
Encyclopedia of Robotics
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In service robotics, LfD aims at providing personalized assistance and services that could not be preprogrammed in advance due to the broad variety of tasks, persons, or environments that a robot can encounter ...
One of the challenges of LfD is to exploit the detected covariations in the demonstrations to retrieve an adaptive and robust controller for the reproduction of the task. ...
doi:10.1007/978-3-642-41610-1_27-1
fatcat:iq5skyg6fbbjllmj2t3pjdql2y
Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications
2021
Applied Sciences
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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 ...
This survey article concludes with a discussion of future research challenges that can serve as a guide to those who are interested in working on the ontology-based semantic knowledge representation systems ...
Three modules were designed for the cloud service: an interactive instruction control module for specifying a set of interaction strategies; a knowledge map module for providing the description and learning ...
doi:10.3390/app11104324
fatcat:6jb3pmzhjnhcxpwvgf4ttkmyga
Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
[article]
2021
arXiv
pre-print
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A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can acquire knowledge about its actions or world. ...
Existing knowledge in the form of a knowledge graph is used as a base of reference to create task trees that are modified with new object or state combinations. ...
IEEE Robotics Autom. Lett.,
6(2):903–910, 2021.
[11] David Paulius and Yu Sun. A survey of knowledge representation in
service robotics. ...
arXiv:2112.02433v1
fatcat:k3gtd2fonffzno37f7wykjt2cm
Intelligent libraries: a review on expert systems, artificial intelligence, and robot
2020
Library hi tech
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retrieval of information resources, library public services as reference services, information desk and other purposes.FindingsA review of the previous studies shows that ESs are a useable intelligent ...
In this researches, librarian robots mostly designed for detection and replacing books on the shelf. ...
ESs use in intelligent libraries. In general, the information provided to users in a library leads to a change in the behavior of the user's knowledge and creates learning. ...
doi:10.1108/lht-02-2020-0038
fatcat:y6ryca7d25dv3jfg6g3q34ok6a
Natural Language Processing for Smart Healthcare
[article]
2022
arXiv
pre-print
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We focus on feature extraction and modelling for various NLP tasks encountered in smart healthcare from a technical point of view. ...
In this work, we review existing studies that concern NLP for smart healthcare from the perspectives of technique and application. ...
Within knowledge engineering, knowledge acquisition and knowledge representation are coupling with information extraction, aiming at the acquisition and representation of medical knowledge in a certain ...
arXiv:2110.15803v2
fatcat:3o6tx5wqezdb5mgyfub2jtuiqu
Ontology-Based Framework for Cooperative Learning of 3D Object Recognition
2021
Applied Sciences
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Advanced service robots are not, as of yet, widely adopted, partly due to the effectiveness of robots' object recognition capabilities, the issue of object heterogeneity, a lack of knowledge sharing, and ...
We present a use case of the framework in which multiple service robots offload compute-intensive machine vision tasks to cloud infrastructure. ...
See Jordan et al. for a survey on the rise of robotic systems supported by cloud computing and Kehoe et al. for a more extensive survey [6, 7] . ...
doi:10.3390/app11178080
fatcat:xgqcfkji3ra6peyz4e5zvayjqe
Developing Emotion-Aware Human–Robot Dialogues for Domain-Specific and Goal-Oriented Tasks
2020
Robotics
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In the first type of dialogue service, the robot works as a consultant, able to provide domain-specific knowledge to users. ...
In this study, we adopted a service-oriented framework to develop emotion-aware dialogues for service robots. ...
Discussion The above experiments evaluated our approach for a service robot to provide knowledge services. ...
doi:10.3390/robotics9020031
fatcat:trwmou2gbfg7ffldwcuqtnmo7y
A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications
2018
Robotics
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Cloud robotics has recently emerged as a collaborative technology between cloud computing and service robotics enabled through progress in wireless networking, large scale storage and communication technologies ...
In this survey paper, we review the recent works in the area of cloud robotics technologies as well as its applications. ...
Acknowledgments: We thank Anna Buhman for her comments which substantially improved the quality of this paper.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/robotics7030047
fatcat:b6klnr6qrvfkpbloyrobhkeyzy
A Survey on Deep Visual Place Recognition
2021
IEEE Access
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LEARNING FROM EXPERT KNOWLEDGE Learning to rank allows to train a network directly for the retrieval task, but the process can be long and costly. ...
to robotics and aerial imagery) and delves with greater detail in some aspects of the problem that are discussed in both manuscripts (e.g., metric learning for place retrieval, techniques for VOLUME ...
doi:10.1109/access.2021.3054937
fatcat:hc5fp2z4g5fldl7imkt7ixq4z4
Expert system methodologies and applications—a decade review from 1995 to 2004
2005
Expert systems with applications
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This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies ...
Based on the scope of 166 articles from 78 academic journals (retrieved from five online database) of ES applications, this paper surveys and classifies ES methodologies using the following eleven categories ...
In CBR, descriptions of past experience of human specialists, represented as cases, are stored in a database for later retrieval when the user encounters a new case with similar parameters. ...
doi:10.1016/j.eswa.2004.08.003
fatcat:bneyzjdknrcivmzst6bm3ddvxq
You Need the AI Community—and the AI Community Needs You!
2015
Künstliche Intelligenz
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They range from classical technical systems such as household devices, cars, or consumer electronics through mobile apps and services to advanced service robots in various fields of application. ...
-Knowledge representation and reasoning on the Web -Cleaning, quality assurance, and provenance of Semantic Web data, services, and processes -Semantic Web data analysis -Ontology-based data access and ...
doi:10.1007/s13218-015-0378-8
fatcat:ejmbihmdafgndovowoqn6nw7ru
Outpatient Text Classification Using Attention-Based Bidirectional LSTM for Robot-Assisted Servicing in Hospital
2020
Information
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This may cause a waste of time and medical resources. ...
With the outpatient text classification system, users can talk about their situation to a service robot and the robot can tell them which clinic they should register with. ...
Related Work In this section, we provide an overview of the mainstream representation models for text classification, in terms of knowledge and information. ...
doi:10.3390/info11020106
fatcat:usrga42frjg67o3q73vjfn5ncq
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