ROBOT SIMULATION AND PROGRAMMING SYSTEM

Author(s):  
A. Woźniak ◽  
J. Warczyński
1992 ◽  
Author(s):  
Makoto Fujiuchi ◽  
Toshihiro Nakamura ◽  
Masatoku Yamaguchi ◽  
Yasuo Ishiguro ◽  
Susumu Mizutani ◽  
...  

1988 ◽  
Vol 21 (16) ◽  
pp. 437-442
Author(s):  
A. Woźniak ◽  
J. Warczyński

Author(s):  
João Pedro Carvalho de Souza ◽  
André Luiz Castro ◽  
Luís F. Rocha ◽  
Manuel F. Silva

Purpose This paper aims to propose a translation library capable of generating robots proprietary code after their offline programming has been performed in a software application, named AdaptPack Studio, running over a robot simulation and offline programming software package. Design/methodology/approach The translation library, named AdaptPack Studio Translator, is capable to generate proprietary code for the Asea Brown Boveri, FANUC, Keller und Knappich Augsburg and Yaskawa Motoman robot brands, after their offline programming has been performed in the AdaptPack Studio application. Findings Simulation and real tests were performed showing an improvement in the creation, operation, modularity and flexibility of new robotic palletizing systems. In particular, it was verified that the time needed to perform these tasks significantly decreased. Practical implications The design and setup of robotics palletizing systems are facilitated by an intuitive offline programming system and by a simple export command to the real robot, independent of its brand. In this way, industrial solutions can be developed faster, in this way, making companies more competitive. Originality/value The effort to build a robotic palletizing system is reduced by an intuitive offline programming system (AdaptPack Studio) and the capability to export command to the real robot using the AdaptPack Studio Translator. As a result, companies have an increase in competitiveness with a fast design framework. Furthermore, and to the best of the author’s knowledge, there is also no scientific publication formalizing and describing how to build the translators for industrial robot simulation and offline programming software packages, being this a pioneer publication in this area.


2017 ◽  
Vol 9 (4) ◽  
pp. 343-352
Author(s):  
Zheng Zhang ◽  
Yonggang Peng ◽  
Yuhui Li

2017 ◽  
pp. 57-57 ◽  
Author(s):  
Francesco Bovo ◽  
Giacomo De Rossi ◽  
Francesco Visentin

2021 ◽  
pp. 027112142098171
Author(s):  
Michael D. Toland ◽  
Jennifer Grisham ◽  
Misti Waddell ◽  
Rebecca Crawford ◽  
David M. Dueber

Rasch and classification analyses on a field-test version of the Assessment, Evaluation, and Programming System Test—Third Edition (AEPS-3), a curriculum-based assessment used to assess young children birth to age 6 years, were conducted. First, an evaluation of the psychometric properties of data from each developmental area of an AEPS-3 field-test version was conducted. Next, cutoff scores at 6-month age intervals were created and then the validity of the cutoff scores was evaluated. Results using Rasch modeling indicated acceptable model fit statistics with reasonable reliability estimates within each developmental area. Classification results showed cutoff scores accurately classified a high percentage of eligible children. Findings suggest that scores from a field-test version of the AEPS-3 are reliable within developmental areas. To the extent allowed by state criteria, early childhood interventionists could possibly use a new field-test version of the AEPS-3 to determine or corroborate eligibility for special education services.


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