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| RoboGrammar: a system for choosing the right shape for the robot |
Massachusetts Institute of Technology researchers have developed a system called RoboGrammar that can hypothetically test different robot designs and determine the best robot based on available parts and local terrain.
There are so many ways to find the most efficient robot design that spans different regions so that all kinds of robots can easily be built and tested in the real world. However, this method takes time.
The researchers told the RoboGrammar system what parts were around the robot, including wheels, hinges, etc.
Researchers have determined the terrain the robot will need to navigate and RoboGrammar will take care of the rest, as the computer system uses the software needed to control the robot to create an improved chassis.
Allen Chow, lead author of the article, said, “Although the tasks that robots use are different, designs of robots are often very similar in shape or design.
Zhao explained that designing robots is a very manual process, noting that the RoboGrammar project represents an opportunity to create new and innovative robot designs.
According to Chow, robotics designers generally turn to quadrupeds when they have to traverse different areas, but researchers wonder if this design is the best.
RoboGrammar was designed as a computer model for designing robots. Because he is not overly influenced by traditions and popular opinions.
The team developed what are known as "graphical rules". When a computer system randomly links the parts, the result is a mixture of the parts.
The rules include the following: The adjacent leg should be attached to the joint, not the other part of the leg.
These rules were designed to ensure that the computer design worked properly, and the team took inspiration from the rules for the arthropod control system.
According to reports, the system is not yet ready for computers to design robots without human intervention, but it is the first step in developing green robots.
The team's next step is to build systematically formed robots to see if the simulation promise matches reality.
"This system could benefit video game engineers and developers who need to create densely populated environments quickly and efficiently."