Vision-Based Autonomous Robot Control for Pick and Place Operations

Document Type

Conference Proceeding

Publication Date

7-14-2009

Publication Title

IEEE/ASME International Conference on Advanced Intelligent Mechatronics

Publisher

IEEE

First page number:

1851

Last page number:

1855

Abstract

Typical robotic pick and place operations involve sensors such as touch and vision attached to the robot. In the presence of ionizing radiation this approach becomes difficult because most customary sensors degrade over time due to radiation exposure. The alternative is the placement of multiple cameras outside the radiation zone, and to identify and infer the location and dimensions of parts within the robot's workspace through image analysis. The paper describes strategies for the reliable and flexible control of the material handling robots inside a hot cell by means of automated stereo vision systems. Since the cameras can be positioned outside the hot cell, such systems would have significant advantages over sensors inside the hot cell, resulting in potentially reduced system maintenance and increased system reliability.

Keywords

Cameras; Degradation; Image analysis; Ionizing radiation; Ionizing radiation sensors; Robot control; Robot sensing systems; Robot vision; Robot vision systems; Robotics and automation; Robots – Control systems; Robots – Effect of radiation; Tactile sensors

Disciplines

Computer Engineering | Manufacturing | Mechanical Engineering | Nuclear Engineering | Robotics

Language

English

Comments

Conference held: Singapore, 14-17 July 2009

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