Software development environment for collaborative research workflow in robotic system integration-Reference-Cited by-同舟云学术

Software development environment for collaborative research workflow in robotic system integration

Published:2022-06-03 Issue:11 Volume:36 Page:533-547
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

El Hafi Lotfi¹²^ORCID,Garcia Ricardez Gustavo Alfonso¹²³^ORCID,von Drigalski Felix¹²⁴^ORCID,Inoue Yuki⁵^ORCID,Yamamoto Masaki⁶^ORCID,Yamamoto Takashi⁷^ORCID

Affiliation:

1. Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, Kusatsu, Japan

2. Coarobo GK, Seika, Japan

3. Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan

4. Robotics Group, OMRON SINIC X Corporation, Tokyo, Japan

5. Faculty of Robotics and Design, Osaka Institute of Technology, Osaka, Japan

6. Manufacturing Innovation Division, Panasonic Corporation, Osaka, Japan

7. Frontier Research Center, Toyota Motor Corporation, Toyota, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2022.2068353

Reference44 articles.

1. von Drigalski F, El Hafi L, Uriguen Eljuri PM, et al. NAIST drillbot: drilling robot at the Airbus Shopfloor Challenge. In: Proceedings of 2016 Annual Conference of the Robotics Society of Japan (RSJ 2016); Vol. RSJ2016AC3X2-03; Yamagata, Japan; 2016 Sep. p. 1–2.

2. Vibration-Reducing End Effector for Automation of Drilling Tasks in Aircraft Manufacturing

3. Garcia Ricardez GA, von Drigalski F, El Hafi L, et al. Lessons from the Airbus Shopfloor Challenge 2016 and the Amazon Robotics Challenge 2017. In: Proceedings of 2017 SICE System Integration Division Annual Conference (SI 2017); Sendai, Japan; 2017 Dec. p. 572–575.

4. Garcia Ricardez GA, von Drigalski F, El Hafi L, et al. Warehouse picking automation system with learning- and feature-based object recognition and grasping point estimation. In: Proceedings of 2017 SICE System Integration Division Annual Conference (SI 2017); Sendai, Japan; 2017 Dec. p. 2249–2253.

5. What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics

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