In the future, one of the areas of application of robotics will be the use of robots in scenarios for eliminating the consequences of natural disasters, technological disasters and in other places where people will be at risk for their health and life. But before robots can operate in such difficult conditions, they will have to learn how to cope with great physical exertion, gain the necessary dexterity and coordination of movement at a level that exceeds the level of a person in these parameters.
In recent years, significant achievements in the aforementioned field concerned in most cases four-legged robots, while the development of two-legged humanoid robots, for well-known reasons, moves much more slowly. And while such robots are not able to cope with the lifting of goods, with the application of force to something, without falling at the same time. But researchers at the Massachusetts Institute of Technology and the University of Illinois managed to develop a new equilibrium control method for biped robots with remote control that partially solves the problems mentioned above.
The introduction of new algorithms, the use of new sensors and other technologies are now the only right way for the two-legged robots to gain the ability to work in difficult conditions. The HERMES robot (Highly Efficient Robotic Mechanisms and Electromechanical Systems), used by researchers, has a fairly simple design, it consists of a body standing on two lower limbs. The robot is controlled using a special vest dressed in an operator. This vest digitizes information about human movements and transmits this information to a robot, which repeats the movements with maximum accuracy.
In addition, the operator’s vest provides feedback, allowing a person to feel the loads experienced by the design of the robot when performing any action. This and some other functions of the vest allow a person to fully control the robot, while maintaining his and his, the robot’s balance. As tests have shown, this feedback works great in all cases, while walking, running, jumping and doing any kind of work.
The system that provides feedback and control of the HERMES robot is capable of self-learning and improvement using data on human movements; after a while, the robot becomes able to perform movements that he could not or did not know how to do before.
And the video below is a confirmation of everything that was said in the previous paragraph.