Moving part recognition and automatic pick and place using an industrial robot

Date

1996-01-01

Author

Konukseven, Erhan İlhan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Robotics research continuously seeks to improve productivity in manufacturing automation. With the recent advances in the areas of vision and sensing, robots have become a major element of today's industrial world. They have been beneficial in replacing humans not only in tasks at which robots are more efficient but also in those that humans find undesirable because they are strenuous, boring, difficult, or hazardous. IF. the last several yeats, more and more efforts have been put in the integration of multiple sensors into robot systems. The goal is to make robots more adaptive and flexible in unstructured or frequently changing environments, and to enable robots to execute intelligent tasks. Thus the robot productivity as well as applicability can be improved.

Subject Keywords

Robot sensing systems, Robotics and automation, Intelligent robots, Productivity, Intelligent sensors, Sensor systems, Infrared sensors, Manufacturing automation, Automatic control, Robot control

URI

https://hdl.handle.net/11511/53092

Conference Name

IEEE International Workshop on Intelligent Robots and Systems (IROS)

Collections

Department of Mechanical Engineering, Conference / Seminar

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Citation Formats

E. İ. Konukseven, “Moving part recognition and automatic pick and place using an industrial robot,” presented at the IEEE International Workshop on Intelligent Robots and Systems (IROS), Grenoble, France, 1996, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53092.