System and method for operating and controlling a hyper configurable humanoid robot to perform multiple applications in various work environments

A processor implemented method for performing and controlling a humanoid robot, said method comprising:

• obtaining, using a work environment accessing module, a data from a perception unit to analyze a working environmental conditions;
• providing, using a communication module, communication between (i) said humanoid robot and a cloud server, and (ii) said cloud server and a plurality of robots;
• detecting, using a vision system and LIDAR (Light Detecting and Ranging) module, an acquisition of image and distance information about said working environmental condition or a plurality of applications to create a map of said working environmental condition for navigation;
• providing, using a feedback analyzing module, a feedback and control information to said humanoid robot;
• and
• providing, using an input module, an input to said humanoid robot based on said plurality of sensors or said user devices or said user to perform a necessary action for said working environmental condition or said plurality of applications.

A humanoid robot comprising:

• (a) a perception unit that is configured to provide an input/data to said humanoid robot to perform necessary action to a working environmental condition or a plurality of applications based on a plurality of sensors, or a user input, wherein said perception unit comprises:
• a brain machine interface unit that is interfaced with a human brain for obtaining an EEG signal from said human brain by providing a biosensor, wherein said EEG signal is transmitted to a microcontroller of said humanoid robot to perform spontaneous and predefined logics;
• a myo band and inertial measure unit that is configured to detect an EMG signal from a muscle of said user to control said humanoid robot;
• a vision and LIDAR system that is configured to provide a vision and distance information about said working environment conditions or said plurality of applications enabling to create a map of said working environment conditions for navigating said humanoid robot;
• a biometrics and voice receptor that is configured to (i) identify a finger print of said user for security purpose of said humanoid robot, (ii) check the finger print in secured places, and (ii) provide voice commands for said humanoid robot for controlling the movement and/or actions of said humanoid robot;
• and
• a fire and explosive detection unit that is configured to detect a fire accident of said working environmental conditions or said plurality of application;
• (b) a master control unit that comprises:
• a memory that stores a data locally or through cloud, and a set of modules, wherein said memory obtains said data from a perception unit;
• and
• a processor that executes said set of modules, wherein said set of modules comprises:
• a work environment accessing module, executed by said processor, configured to (i) obtain a data from said perception unit to analyze a work conditions and (ii) perform a list of tasks for said humanoid robot based on said plurality of sensors;
• a communication module, executed by said processor, configured to provides communication between (i) said humanoid robot and a cloud server, and (ii) said cloud server and a plurality of robots to perform said list of tasks based on said plurality of sensors;
• a vision system and LIDAR module, executed by said processor, configured to detect an acquisition of image and distance information about a working environmental condition or said plurality of applications to create said map of said working environmental condition or said plurality of applications for navigation;
• a feedback analyzing module, executed by said processor, configured to provide a feedback and control information to said humanoid robot;
• an input module, executed by said processor, configured to provide an input to said humanoid robot based on said plurality of sensors output or a user devices or said user;
• a brain machine interface module, executed by said processor, configured to receive an Electroencephalogram (EEG) signal from electrical activity of said human brain to control said humanoid robot;
• a myoelectric signal detection module, implemented by said processor, configured to detect an EMG signal from a changing muscle condition of said user to control said humanoid robot;
• and
• a finger impression identification module, executed by said processor, configured to identify a finger print of said user for security purpose of said humanoid robot;
• (c) a monitoring and safety unit that is configured to (i) check a right commands given by said user in said working environmental, and (ii) check commands executed during autonomous operation;
• and
• (d) a navigation and control unit that is configured to receive a multiple responses from said processor to execute that said multiple responses on said humanoid robot, wherein said humanoid robot acts individually or as a swarm.