They are programmed.
They are programmed.
He is programmed.
yes or maybe no
A robot is usually defined as being able to perform tasks on its own. I car cannot perform tasks on it's own (usually, some new cars can do a few things e.g. parking itself) and is therefore not considered a robot.
Assistive robots perform their task(s) by people pointing lasers at objects, as well as voice commands.
Household robots are typically taught to perform tasks through a combination of programming, machine learning, and sensor feedback. Developers create algorithms that define the robot's actions, while machine learning allows the robot to improve its performance by learning from experience and user interactions. Additionally, sensors help the robot perceive its environment, enabling it to adapt to changes and execute tasks more effectively. Some robots can also be trained via demonstration, where a user shows the robot how to perform a task, which the robot then mimics.
It's not actually 'taught'. The scientists write a computer program to tell the rover what to do - and send the program by radio to Mars. The rover receives the program, and follows the instructions.
If a machine has been programed to perform a specific task then it is a robot.
yes
alot
The ATLAS robot is taught to perform its tasks through a combination of programming, machine learning, and simulation. Researchers at Boston Dynamics utilize a variety of training techniques, including reinforcement learning and motion planning algorithms, to enable ATLAS to learn from its environment and improve its performance over time. The robot practices tasks in virtual simulations before executing them in the real world, allowing for safer and more efficient learning. Additionally, human demonstrations can be used to guide ATLAS in mimicking complex movements and tasks.
SCARA robots are typically taught to perform tasks through a combination of manual programming and teaching modes. In manual programming, operators guide the robot through specific movements using a pendant or joystick, allowing the robot to learn the desired path and positions. Some SCARA robots also support programming through software, where users can input coordinates and parameters for tasks. Additionally, advanced models may utilize machine learning algorithms to optimize their performance based on previous tasks and data.