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
Link To Document :
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