Answer-Robotic-SemanticWeb-IoT-Workshop-IROS2019 - Revision history

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‎Workshop Chairs

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Amelie: /* Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms */

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‎Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms

Amelie: /* Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms */

2019-10-30T20:17:06Z

‎Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms

Amelie: /* Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms */

2019-10-30T20:15:52Z

‎Challenge Task: Knowledge Extraction from robotic ontologies - Extracting the most popular terms

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 == Workshop Chairs ==
 [[File:IlariaTiddi.png|140x140px| Ilaria Tiddi, Vrije Universiteit of Amsterdam, The Netherlands]]
 [[File:MasoumehMansouri.png|140x140px| Masoumeh Mansouri, Örebro University, Sweden]]

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 Do you plan to attend our workshop? Feel free to present yourself in our [https://docs.google.com/presentation/d/1LZbxcqAe-C-ByII64YbJdU-R3wpI3ZwuV8dxnjwZkv0/edit?usp=sharing Lightning Talks (1-minute slide) for attendees to ease networking and discussions or share any comments].
-[https://swb.skku.edu/cnrlab/iros2019_proceeding_zip.do Temporary zip file proceedings before the official CEUR-WS publications]
+[http://ceur-ws.org/Vol-2487/ Joint Proceedings of the 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy (SDMM19) and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics (AnSWeR19) co-located with International Conference on the Intelligent Robots and Systems (IROS 2019)]
 [[File:ProgramPage1_IROS2019AnswerWorkshop.png|500x600px| ]]

← Older revision		Revision as of 23:20, 2 November 2019
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	[https://ori.ox.ac.uk/ori-people/lars-kunze/ Dr. Lars Kunze], Oxford University, UK (Already confirmed).		[https://ori.ox.ac.uk/ori-people/lars-kunze/ Dr. Lars Kunze], Oxford University, UK (Already confirmed).

		+	Abstract:
		+	Autonomous robots operating in real-world environments that interact with robots, other systems, and humans are required to gather new information and/or exchange information about what they have seen, reasoned, and done. In this talk, I will discuss how robots can harness semantic technologies, web mining, as well as crowdsourcing as a way to represent, acquire, and exchange knowledge; motivated by both applications in open-ended environments and interactions with end-users.
		+
		+	Bio:
		+	Dr. Lars Kunze is a Departmental Lecturer in Robotics in the Oxford Robotics Institute and the Department of Engineering Science at the University of Oxford, and a Stipendiary Lecturer in Computer Science at Keble College. Before joining Oxford, he was a Research Fellow in the Intelligent Robotics Lab at Birmingham University. He received a Ph.D. degree (Dr. rer. nat.) from the Technical University of Munich in 2014.
		+	His areas of expertise lie in the fields of robotics and artificial intelligence (AI). His goal is to enable robots to understand their surroundings, to act autonomously, and to explain their own behavior in meaningful human terms. To this end, his research concerns the design and development of fundamental AI techniques for autonomous robot systems. He focusses on the combination of knowledge representation, reasoning, machine learning, and robot perception; motivated by applications in complex, real-world environments.
	Dr. Kunze has a long-standing experience with knowledge representation formalisms for robotics and will present his work held in the context of the RoboEarth (http://roboearth.ethz.ch) and ALOOF (https://project.inria.fr/aloof/) projects.		Dr. Kunze has a long-standing experience with knowledge representation formalisms for robotics and will present his work held in the context of the RoboEarth (http://roboearth.ethz.ch) and ALOOF (https://project.inria.fr/aloof/) projects.

← Older revision		Revision as of 14:28, 31 October 2019
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	Do you plan to attend our workshop? Feel free to present yourself in our [https://docs.google.com/presentation/d/1LZbxcqAe-C-ByII64YbJdU-R3wpI3ZwuV8dxnjwZkv0/edit?usp=sharing Lightning Talks (1-minute slide) for attendees to ease networking and discussions or share any comments].		Do you plan to attend our workshop? Feel free to present yourself in our [https://docs.google.com/presentation/d/1LZbxcqAe-C-ByII64YbJdU-R3wpI3ZwuV8dxnjwZkv0/edit?usp=sharing Lightning Talks (1-minute slide) for attendees to ease networking and discussions or share any comments].
		+
		+	[https://swb.skku.edu/cnrlab/iros2019_proceeding_zip.do Temporary zip file proceedings before the official CEUR-WS publications]

	[[File:ProgramPage1_IROS2019AnswerWorkshop.png\|500x600px\| ]]		[[File:ProgramPage1_IROS2019AnswerWorkshop.png\|500x600px\| ]]

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    Suggestion:
    [http://knoesis.org/sites/default/files/IEEE_IoT_Journal_2019_Concept_Extraction_Paper_Extended.pdf Paper: Automatic Knowledge Extraction to build Semantic Web of Things Applications] [Noura et al. 2019] IEEE Internet of Things (IoT) Journal 2019. Impact factor: 9.515 in 2019
    [http://knoesis.org/node/2913 Paper: Concept Extraction from Web of Things Knowledge Bases] [Noura et al. 2018] International Conference WWW/Internet, 2018 Outstanding Paper Award
    [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.105.2799&rep=rep1&type=pdf Paper: OntoKhoj: a semantic web portal for ontology searching, ranking and classification] [Patel et al. 2003]
    [https://link.springer.com/chapter/10.1007/978-3-540-88564-1_3 Paper: Identifying potentially important concepts and relations in an ontology] [Wu et al. 2008]

← Older revision		Revision as of 17:05, 30 October 2019
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	But you can look at: [https://www.riverpublishers.com/pdf/ebook/RP_9788793609105.pdf Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms] [Vermesan et al. 2017] (Chapter 4, p 124)		But you can look at: [https://www.riverpublishers.com/pdf/ebook/RP_9788793609105.pdf Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms] [Vermesan et al. 2017] (Chapter 4, p 124)

−	or [https://www.linkedin.com/pulse/workshop-robotics-healthy-living-active-ageing-ieee-roman-di-nuovo/?trackingId=5%2FBjYLMnRfG5Oj3Fmr%2BPCg%3D%3D ~~Workshop on Robotics~~ for Healthy Living and Active ~~Ageing at IEEE ROMAN 2019~~]	+	or [https://www.linkedin.com/pulse/workshop-robotics-healthy-living-active-ageing-ieee-roman-di-nuovo/?trackingId=5%2FBjYLMnRfG5Oj3Fmr%2BPCg%3D%3D Internet of Intelligent Robotic Things for Healthy Living and Active]

← Older revision		Revision as of 16:59, 30 October 2019
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	But you can look at: [https://www.riverpublishers.com/pdf/ebook/RP_9788793609105.pdf Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms] [Vermesan et al. 2017] (Chapter 4, p 124)		But you can look at: [https://www.riverpublishers.com/pdf/ebook/RP_9788793609105.pdf Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms] [Vermesan et al. 2017] (Chapter 4, p 124)
		+
		+	or [https://www.linkedin.com/pulse/workshop-robotics-healthy-living-active-ageing-ieee-roman-di-nuovo/?trackingId=5%2FBjYLMnRfG5Oj3Fmr%2BPCg%3D%3D Workshop on Robotics for Healthy Living and Active Ageing at IEEE ROMAN 2019]

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 '''Keynote 1''': "Autonomous Robots in a Connected World"
-[https://ori.ox.ac.uk/ori-people/lars-kunze/ Lars Kunze], Oxford University, UK (Already confirmed).
+[https://ori.ox.ac.uk/ori-people/lars-kunze/ Dr. Lars Kunze], Oxford University, UK (Already confirmed).
-Dr Kunze has a long-standing experience with knowledge representation formalisms for robotics and will present his work held in the context of the RoboEarth (http://roboearth.ethz.ch) and ALOOF (https://project.inria.fr/aloof/) projects.
+Dr. Kunze has a long-standing experience with knowledge representation formalisms for robotics and will present his work held in the context of the RoboEarth (http://roboearth.ethz.ch) and ALOOF (https://project.inria.fr/aloof/) projects.
 '''Keynote 2''': "Learning How-To Knowledge from the Web"
-[https://web.stanford.edu/~yukez/ Yuke Zhu], Stanford, USA (Already confirmed)
+[https://web.stanford.edu/~yukez/ Dr. Yuke Zhu], Stanford, USA (Already confirmed)
 Abstract: Recent advances in artificial intelligence have led to a series of successful applications, such as image recognition and machine translation. Along with great progress in machine learning models, web data has been serving a critical role as the training source to fuel these data-hungry models. However, large-scale web datasets, e.g., annotated image datasets and curated natural language corpora, have mostly focused on capturing the declarative knowledge ("what-is"), which stores the factual and descriptive information. While it has empowered AI algorithms to embrace a deeper understanding of our world, the interactive nature of robotics further requires a complementary type of knowledge: the procedural knowledge ("how-to") that determines how to interact with the world. In this talk, I will discuss two directions in learning how-to knowledge from the web. First, I will present our work on learning task structures from video data. We develop one-shot imitation learning methods to extract high-level task procedures from video demonstrations. Second, I will introduce our ongoing effort in building RoboTurk, a large-scale remote crowdsourcing platform. RoboTurk enables a parallel pool of online users to together create the largest dataset of human demonstrations for robot skill learning.
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 '''Keynote 4''': "Semantic mapping for robots and by robots: the role of high-level information"
-[https://mro.oru.se/people/todor-stoyanov/ Todor Stoyanov], Orebro University, Sweden (Already confirmed)
+[https://mro.oru.se/people/todor-stoyanov/ Dr. Todor Stoyanov], Orebro University, Sweden (Already confirmed)
 Semantic maps have the potential of serving as a bridge between classical high-level AI and low-level robot exploration and motion generation.
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 In this talk, I will attempt to offer a glimpse at the different notions of semantics with respect to robot maps and argue that top-down and bottom-up approaches to the problem are on the verge of finding common ground.
-Todor Stoyanov is an Associate professor with the Center for Applied Autonomous Sensor Systems at Örebro University.
+Dr. Todor Stoyanov is an Associate professor with the Center for Applied Autonomous Sensor Systems at Örebro University.
 His primary research area is on the intersection between perception and manipulation, with a focus on robot learning techniques for mobile manipulation.
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 '''Keynote 6''': "Internet of Robotic Things (IoRT)" (Cancelled)
-[https://www.santannapisa.it/en/filippo-cavallo Filippo Cavallo], The BioRobotics Institute Scuola Superiore Sant'Anna, Italy
+[https://www.santannapisa.it/en/filippo-cavallo Dr. Filippo Cavallo], The BioRobotics Institute Scuola Superiore Sant'Anna, Italy
 But you can look at: [https://www.riverpublishers.com/pdf/ebook/RP_9788793609105.pdf Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms] [Vermesan et al. 2017] (Chapter 4, p 124)