Bangla voice controlled robot for rescue operation in noisy environment

摘要

We present the design and implementation of a prototype of Bangla voice controlled robotic motion based on an efficient and unique algorithm for accurately detecting Bangla voice commands. For the detection of Bangla voice commands to control the movement, our developed speech detection system incorporates Mel-Frequency Cepstrum Coefficients based speech feature extraction mechanism and a feature matching technique using Vector Quantization. Our proposed Bangla voice controlled robotic motion can be very effective in rescue operation and disaster management system where a rescuer can dynamically give the rescue robot voiced instructions instead of being stagnant in a place for its controlling. Additional features including dynamic path generating algorithm for the traversed path, capability to accurately follow a specific map to reach a certain destination, detection of different gases and dynamic obstacle avoidance as well as precise position and movement control system add to the flexibility and dimension of the robotic motion. Apart from its possible application in industrial automation, Bangla voice controlled robotic motion can also encourage the view of a robotic machine as a partner rather than a tool by providing a smooth, easy and flexible mean of self-reliant movement for the physically challenged people speaking Bangla language throughout the world.