In 2018, Google DeepMind created a program called AlphaZero. This program learned to play chess, shogi, and Go by itself. Now, a team of researchers at Caltech has made a new algorithm for robots. This algorithm helps robots make the best movements as they move around in the real world.
Soon-Jo Chung, a professor at Caltech, explains that their algorithm looks at many possible movements. It uses simulations, which are like practice games for robots, to find the best moves. The researchers named their method Spectral Expansion Tree Search (SETS).
SETS is smart. It can help many different types of robots decide how to move without a designer telling them what to do. It uses math to find natural-looking movements that robots can make safely.
The researchers tested SETS with different robots. One test involved a drone that avoided obstacles while flying. Another test helped a vehicle navigate a narrow track. The last test involved two spacecraft working together.
A group of Caltech students is now using SETS to help an Indy car in a competition in Las Vegas. This work got support from different research agencies.
Vocabulary List:
- Algorithm /ˈælɡəˌrɪðəm/ (noun): A process or set of rules to be followed in calculations or other problem-solving operations usually by a computer.
- Simulations /ˌsɪmjuˈleɪʃənz/ (noun): The act of imitating a situation or process for testing or training purposes.
- Navigate /ˈnævɪˌɡeɪt/ (verb): To plan and direct the route or course of a vehicle or aircraft.
- Obstacles /ˈɒbstəklz/ (noun): Things that block one’s way or prevent or hinder progress.
- Spectral /ˈspɛktrəl/ (adjective): Of or relating to a spectrum; often used in mathematical and engineering contexts.
- Movements /ˈmuːvmənts/ (noun): The act of changing physical location or position.
How much do you know?
What is the name of the program created by Google DeepMind in 2018?
Which games did AlphaZero learn to play by itself?
What is the method developed by the researchers at Caltech for robots to make optimal movements?
Who explained the algorithm SETS developed by Caltech researchers?
What type of robots can SETS assist in making movement decisions?
Which vehicle was involved in the test of the SETS algorithm for navigation?
AlphaZero was developed by a team of researchers at Caltech.
SETS uses simulations to help robots make optimal movements.
The researchers tested SETS with different types of robots, including vacuum cleaners.
Caltech students are using SETS to help an Indy car in a competition in New York.
The algorithm SETS was named after its lead developer at Caltech.
The SETS algorithm does not require any mathematical computations.
Soon-Jo Chung is a professor at .
The researchers named their robot movement method as Spectral Expansion Tree Search (SET).
The testing of SETS involved a that avoided obstacles while flying.
A group of Caltech students is using SETS to assist an Indy car in a competition in .
The SETS algorithm uses math to find natural-looking movements for robots to make .
The researchers tested SETS with different robots, one of which involved two working together.
