One of the most challenging jobs in robot control is handwriting, is of particular interest due to the fine control needed to write alphabets to express words and sentences. Hence, the proposed work is aimed to accomplish accurate robot handwriting of speech in English using a robotic arm system that accurately writes the words spoken by the user. In this approach, every word spoken by the user is converted into the form of text by using Google cloud speech Application Program Interface by using powerful Artificial Neural Network models. Google cloud speech Application Program Interface (API) can convert speech to text in noisy environments and it is accent insensitive, hence making it the most viable option to convert the speech to text. Two dimensional inverse kinematics equations are used to generate the control angles to drive the motors of the 6 Degrees of Freedom robotic arm to replicate the words spoken by the user.
Index Terms: Robotic arm, Text to Speech, Inverse Kinematics, DOF, API
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All credit goes to: Dr. PHV Sesha Talpa Sai, Dr. Amiya Bhaumik, Abhishek Tripathi, Arun Prasad K V, Pradeep Shivappa Asundi of the Reddy College of Engineering & Technology,(Autonomous) Lincoln University College, Malaysia