AUGMENTED INTELLIGENCE FOR TEACHING ROBOTS BY IMITATION
- 1 Institute of Robotics, BAS, Bulgaria
- 2 Technical University. Sofia, Bulgaria
- 3 Professional High School of Computing and Technology Systems, Pravets, Bulgaria
The process of augmenting intelligence in Human Robot Interaction has a complex character and can’t be pre-programmed explicitly. Nowadays, teaching robots is a well established concept ranging from demonstration by variants of teleoperation to imitation by external observations. We illustrate an innovative approach for learning intelligence and gestures by imitations of robots by brain augmentation captured by Emotiv brain-listening headset and human poses tracked by Microsoft Kinect motion-sensing device. Thus, robots learn continuously by observations from human brain activities and motions and really become personal. By innovative algorithms, robot operations that satisfy the current physical, cognitive, emotional and social intelligence over time are calculated and transmitted to robot sensors, modules and controllers. The concept of added brain intelligence will also evolve into technology to increase brain capacity and will shape our experience and skills in the future. Summarizing, the paper proposes a new concept for human-robot personal communication by augmenting bio intelligence to robot and vice versa – machine intelligence to human.