The Human Assistant System

摘要

The requirements for human assistant systems and their popularity are growing rapidly every day. With the growing trend of voice assistant systems like Alexa, Siri, the dependence on voice assistants is also increasing. A speech recognition model developed to detect and analyze voice commands and perform the required actions as and when. An algorithm-based speech recognition engine processes speech and detects spoken speech using speech processing techniques. Object detection and identification of different types of object in different light conditions plays a major role in any system, an object detection model built based on a machine learning algorithm that is trained with enough data set to identify 80 different objects with good accuracy. Navigation is a fundamental part of all non-stationary systems, obstacles on the way increase the risk of system damage. A humanoid navigation system built to navigate a humanoid in unknown environments, with the system mainly performing the actions of obstacle detection, obstacle avoidance, and destination path planning. Finding the current location of any mobile system is of greater importance for the successful management of security as well as advanced humanoid robot applications.