2011
DOI: 10.1007/978-3-642-21975-7_5
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Simulation Engine in Mobile Robot Operator Training Tool

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2011
2011
2013
2013

Publication Types

Select...
2
2
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 25 publications
0
4
0
Order By: Relevance
“…In the last years there was a significant development of numerical scientific and engineering methods for solving scientific and engineering problems [11,12,13,14,15,16,17]. Digitalization of model of the complex structures for mechanical systems and with contemporary level of the development of computers is not a problem.…”
Section: Methodsmentioning
confidence: 99%
“…In the last years there was a significant development of numerical scientific and engineering methods for solving scientific and engineering problems [11,12,13,14,15,16,17]. Digitalization of model of the complex structures for mechanical systems and with contemporary level of the development of computers is not a problem.…”
Section: Methodsmentioning
confidence: 99%
“…Simulation model [10,11,12,13,14] of unmanned mobile vehicle that is used to identify service loads for a newly designed suspension was created with the use of MULTIBODY system method and MD Adams/View program [15,16,17]. While designing the model the following simplifying criteria have been accepted:…”
Section: Simulation Modelmentioning
confidence: 99%
“…The research related to the training and the hypotheses through interactions with unmanned systems using computer mediated gesture recognition is shown in [19], where the presented methodology employs the Nintendo Wii Remote Controller (Wiimote) to retrieve and classify one-and two-handed gestures that are mapped to an unmanned system command set. The Modeling and simulation for the mobile robot operator training tool was presented in [1].…”
Section: Introductionmentioning
confidence: 99%