As we all know that researchers and scientists are busy at every moment to create or innovate different things for the ease and comfort of human beings. And this time the researchers have created self-configuring modular robots. These robots are developed by the researchers at the Universite Libre de Bruxelles. The main qualities of these robots are that they can split, merge, and even self-heal while retaining full sensorimotor control.
The positive point of developing these robots is that they can give us a way to create robots that can change their shape, size, and function autonomously. In the scientific review “Nature Communications” this study is published.
If the work of the robots is seen than many of the robots are organized by robotic nervous systems in which radars and actuators are connected to a central processing unit. And most of the time the robotic nervous systems are plotted sternly to the shape of the robot, which limits elasticity in their proficiencies. Adaptability could be enhanced by using modular robots, made up of multiple units that can form collective bodies, but management and control of modular robots have been controlled by a limited set of predefined shapes that the units can form into.
These new robots are developed by the Marco Dorigo and colleagues, IRIDIA Laboratory, Brussels School of Engineering. These newly developed robots are modular robots that can adjust their bodies by excruciating and integration to become new self-regulating robotic entities, autonomously choosing appropriate shapes and sizes in response to the task or environment. Their robotic nervous systems can also split and merge to maintain sensorimotor control.
Some more qualities of these modular robots are that these robots can self-heal by eradicating or swapping faulty parts, including a malfunctioning brain unit. The system is established using 10 units, but the author advises that the system may be easy to scale-up. They intend that in coming future, robots will no longer be deliberate for a specific task, and propose that their system could ultimately encourage the production of robots that can adapt to changing task requirements.
So, it’s a good sign that in the near future we will have the robots which will tackle different tasks.