Abstract
Robots are used frequently nowadays to reduce the human effort due to its efficient capability and performance. However, interaction with human-friendly environment is needed to integrate the robot accurately. Recently, robotic vision plays an important role in the real-world phenomenon to achieve this goal. This is because robotic vision has the capability to identify and determine the accurate positions of all related objects within the working area of the robot. In robotic vision, images are used as input, which analyzes the content of images. These have been used for the output of the system based on the criteria of image analysis, image transformation, and image understanding. Hence, the system may be able to capture the related information using the motion of the objects. And it updated this information for verification, tracking, acquisition, and extractions of images to adopt in the database. The main objective of this work is to enable the algorithm to understand the visual world. In order to achieve the goal, we have proposed an algorithm which is based on computer vision theories. Experiments have been performed on real-world image which shows our algorithm has better performance.
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References
Cabre, T.P., Cairol, M.T., Calafell, D.F., Ribes, M.T., Roca, J.P.: Project-Based learning example: controlling an educational robotic arm with computer vision. IEEE RevistaIberoamericana De Technologias Del Apppendiaje 8(3), 135–141 (2013)
Lichtigstein, A., Or-El, R., Nakhmani, A.: Autonomous robot control with dsp and video camera using matlab state flow chart. In: 4th European Education and Research Conference, pp. 170–174 (2010)
Rai, N., Rai, B., Rai, P.: Computer vision approach for controlling educational robotic arm based on object properties. In: IEEE 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking, pp. 1–9 (2014)
Mashali, M., Alqasemi, R., Sarkar, S., Dubey, R.: Design implementation and evaluation of a motion control scheme for mobile platforms with high uncertainties. In: 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 1091–1097 (2014)
Ali, H., Seng, T., C., Hoi, L., H., Elshaikh, M.: Development of vision based sensor of smart gripper for industrial applications. In: IEEE 8th International Colloquium on Signal Processing and its Applications, pp. 300–304 (2012)
Song, K., T., Chnag, J., M.: Experimental study on robot visual tracking using a neural controller. In: IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, vol. 3, pp. 1850–1855 (1996)
Crowley, J.L.: Integration and control of reactive visual processes for visual navigation. In: Proceedings of the Intelligent Vehicles Symposium, pp. 32–38 (1994)
Zhang, B., Wang, J., Rossano, G., Martinez, C.: Vision-guided robotic assembly using uncelebrated vision. In: IEEE International Conference on Mmechatronics Automation, pp. 1384–1389 (2011)
Saegusa, R., Natale, L., Metta, G., Sandini, G.: Cognitive robotics—active perception of the self and others. In: 4th International Conference on Human System Interactions, pp. 419–426 (2011)
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Khan, A., Li, JP., Malik, A., Yusuf Khan, M. (2019). Vision-Based Inceptive Integration for Robotic Control. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_11
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DOI: https://doi.org/10.1007/978-981-13-3393-4_11
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