DocumentCode
3440227
Title
Task-level teaching system with trajectory planning for industrial robots
Author
Sato, Shuichi ; Nakano, Masaru ; Kubota, Fumiko ; Sugiura, Norio ; Tanaka, Minoru ; Koyama, Toshihiko ; Nakayama, Seiya
Author_Institution
Toyota Central Res. & Dev. Labs. Inc., Aichi, Japan
Volume
3
fYear
1995
fDate
21-27 May 1995
Firstpage
2394
Abstract
In this paper, we propose a new teaching system, ROPSII, by which the user can teach a robot a task with a task-level language. ROPSII has three features. First, the operator can perform three-dimensional visual programming based on our object-oriented language. Due to the flexibility of the language, the operator can easily apply the system to various tasks. Second, the operator can describe the failure recovery sequence separately from the main task sequence and automatically generate a detailed command sequence with a part sending a signal from the robot to the peripheral equipment and vice versa. These procedures are easy; the operator can perform them as if giving directions to a person to do so. Third, the operator can automatically develop a collision avoidance trajectory. It´s generated by the original algorithm which efficiently operates as an off-line teaching system. We will introduce our recent approaches for establishing the new teaching system and discuss the applicability of the system in this paper
Keywords
industrial robots; path planning; robot programming; robots; visual programming; ROPSII; collision avoidance trajectory; failure recovery; industrial robots; object-oriented language; off-line teaching; task-level teaching system; teaching system; trajectory planning; Collision avoidance; Computer peripherals; Education; Educational robots; Object oriented programming; Robot programming; Robotics and automation; Service robots; Signal generators; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location
Nagoya
ISSN
1050-4729
Print_ISBN
0-7803-1965-6
Type
conf
DOI
10.1109/ROBOT.1995.525618
Filename
525618
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