Investigation of user RT-service generation system design

Ukai, Ken; Ando, Yoshinobu; Mizukawa, Makoto

doi:10.1109/fuzzy.2009.5277172

Cited by 6 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ukai et al used RT Ontology to represent the relationship between objects and human intention, and to generate "tsuide-task" [6]. Fukusato used ontology to map human commands to physical tasks [1].…”

Section: Related Researchmentioning

confidence: 99%

Extraction of commonsense knowledge for “Bring something” robotic service at home

Lam

Mayama

Mizukawa

et al. 2012

2012 IEEE International Conference on Mechatronics and Automation

Self Cite

View full text Add to dashboard Cite

Sharing commonsense knowledge is one key to realize symbiosis between human and robot. However, as human knowledge is so complicated, it is difficult to extract appropriate information for robot. This paper presents our approach to extract the core part from Basic-level Knowledge Network (BKN) to be used for intuitive "Bring something" robotic service. A two-step filtering method was implemented based on the weighting mechanism of BKN. The first step used one weighting parameter to filter the most irrelevant data. The second step combined all weighting parameters from BKN with user response data from a questionnaire to estimate commoness of object-activity connections. Result showed that the proposed approach is efficient to extract the most common activities related to each object in BKN, therefore to help robot understands human intention and provide intuitive service.Index Terms-commonsense knowledge, robotic service.

show abstract

Section: Related Researchmentioning

confidence: 99%

Extraction of commonsense knowledge for “Bring something” robotic service at home

Lam

Mayama

Mizukawa

et al. 2012

2012 IEEE International Conference on Mechatronics and Automation

Self Cite

View full text Add to dashboard Cite

show abstract

“…This framework was developed in our laboratory from 2007, focusing on sensing technology to construct environmental information using sensor networks and RT Middleware for integrating robots and sensors [10] [11] [12]. Significant work has been done to develop a user interface, system database and Middleware, as well as realizing the functional interaction between human and robot.…”

Section: Kukanchi Systemmentioning

confidence: 99%

Robotic Services at Home: An Initialization System Based on Robots' Information and User Preferences in Unknown Environments

Mohd

Mizukawa

2014

International Journal of Advanced Robotic Systems

Self Cite

View full text Add to dashboard Cite

One important issue in robotic services is the construction of the robotic system in the actual environment. In other words, robots must perform environment sensing or have information on real objects, such as location and 3D dimensions, in order to live together with humans. It is crucial to have a mechanism to create an actual robotic system (intelligent space) such that there is no initialization framework for the objects in the environment, or we have to perform SLAM and object recognition as well as mapping to generate a useful environmental database. In intelligent space research, normally the objects are attached to various sensors in order to extract the necessary information. However, that approach will highly depend on sensor accuracy and the robotic system will be burdened if there are too many sensors in an environment. Therefore, in this paper we present a system in which a robot can obtain information about an object and even create the furniture layout map for an unknown environment. Our approach is intended to improve home-based robotic services by taking into account the user or individual preferences for the Intelligent Space (IS). With this information, we can create an informational map of the home-based environment for the realization of robot assistance of humans in their daily activities at home, especially for disabled people. The result shows the system design and development in our approach by using model-based system engineering.

show abstract

User-oriented RT Service Proposal System in Kukanchi

Ohira

Lam

Mizukawa

et al. 2013

Procedia Computer Science

View full text Add to dashboard Cite

Investigation of user RT-service generation system design

Cited by 6 publications

References 2 publications

Extraction of commonsense knowledge for “Bring something” robotic service at home

Extraction of commonsense knowledge for “Bring something” robotic service at home

Robotic Services at Home: An Initialization System Based on Robots' Information and User Preferences in Unknown Environments

User-oriented RT Service Proposal System in Kukanchi

Contact Info

Product

Resources

About

Investigation of user RT-service generation system design

Cited by 6 publications

References 2 publications

Extraction of commonsense knowledge for &#x201C;Bring something&#x201D; robotic service at home

Extraction of commonsense knowledge for &#x201C;Bring something&#x201D; robotic service at home

Robotic Services at Home: An Initialization System Based on Robots' Information and User Preferences in Unknown Environments

User-oriented RT Service Proposal System in Kukanchi

Contact Info

Product

Resources

About

Extraction of commonsense knowledge for “Bring something” robotic service at home

Extraction of commonsense knowledge for “Bring something” robotic service at home