Traditionally, the robot manipulators were assigned a monotonous task. Therefore, in an aim of simplifying the interactions between unstructured surrounding and robots, as well as to carry out the more complex operations, cognitive abilities such as visual perception are appended to systems for the sake of intelligent operations. Hence, this article directed towards the multistage process involved in the design and development of vision-based robot manipulator suitable for pick and place operation in real-time entailing external disturbances. The intact system development occurs in three phases: first, the robot manipulator with 3-DOF is designed, developed and also enhanced by integrating the vision source. Second, an algorithm for object detection and localization in real time is framed in which segmented object matrices are returned by the former and the position of the stabilized object is returned by the latter. Third, entire hardware-software integration is achieved to perform the desired operation. The algorithm developed in this paper proves to be good for the developed vision-based manipulator, as we achieve quite a good accuracy in object detection algorithm whereas 98.41-99.12% accuracy is achieved in the object localization algorithm.
Keywords Object detection • Object localization • Real-time robot manipulatorThis article is part of the topical collection "Applications of Cloud Computing, Data Analytics and Building Secure Networks" guestedited by Rajnish Sharma, Pao-Ann Hsiung and Sagar Juneja".
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.