Interactive Humanoid Robot


Authors : Dr. Wilferd John Vaz, Sareddy Jaswanth Reddy , Sushmitha KR, Swathi V, Rashmi KR

Volume/Issue : Volume 5 - 2020, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2yTAwQ1

Abstract : Humanoid Robots are built to mimic humans. The navigation problem of robot is solved by decomposing them into a series of small multi-objective optimization problems (MOPs) with corresponding local information, using multi-objective evolutionary algorithms (MOEAs).The humanoid robot can use its control function to stimulate more number of responses to its environment and uses a computing speed of milliseconds to anticipate and react to the movements done by workers at the workplace. For implementing the robotic control and computer vision functions a group of applications are developed in Raspberry Pi using Open CV modules. The Image processing and controlling is done by the processor Raspberry Pi . Various sensors will be embedded to fetch the data from the environment or the user. Required information is conveyed through LCD touchpad.

Keywords : Raspberry Pi Microcontroller, Touch Pad, Speaker, Accelerometer and Gyroscope Sensors.

Humanoid Robots are built to mimic humans. The navigation problem of robot is solved by decomposing them into a series of small multi-objective optimization problems (MOPs) with corresponding local information, using multi-objective evolutionary algorithms (MOEAs).The humanoid robot can use its control function to stimulate more number of responses to its environment and uses a computing speed of milliseconds to anticipate and react to the movements done by workers at the workplace. For implementing the robotic control and computer vision functions a group of applications are developed in Raspberry Pi using Open CV modules. The Image processing and controlling is done by the processor Raspberry Pi . Various sensors will be embedded to fetch the data from the environment or the user. Required information is conveyed through LCD touchpad.

Keywords : Raspberry Pi Microcontroller, Touch Pad, Speaker, Accelerometer and Gyroscope Sensors.

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