Deep Learning Based Assistive Robot
Chalapathi Raju Kanumuri1, D. Srinivasa Reddy2, A. Manikanta Swamy3
1Chalapathi Raju Kanumuri, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India.
2D Srinivasa Reddy, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India.
3A Manikanta Swamy, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 154-155 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10280681S319/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The use of Deep learning in the field of Artificial Intelligence is increasing rapidly. It contributes immensely to the advancement of automation process and improves the interface between man and machine in numerous applications. Several research works have been focusing on new techniques and methods that would reduce the human effort where the work need not be mandatorily done by humans. Our proposed model is an assistive robot, which would assist the elderly, physically impaired people. It has applications like face recognition, text translation and in advanced driver assistance systems. So, in this project an attempt is made to develop an assistive robot which is based on the deep learning model which relays on Caffe Framework. The use of Intel Movidius neural compute stick which is used as a vision processing unit helps in the processing of a trained model in a better way. The proposed model of an assistive robot is simple compared to other models and also economical.
Keywords: Assistive Robot, Deep Learning, Artificial Intelligence, Robotics.
Scope of the Article: Autonomous Robots