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This is @raju333 From 🇧🇩 Bangladesh
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As more and more medical companies seek out robots for increasingly complex tasks such as robot-assisted surgery, the system developers responsible for creating these robots see increasing demand for sophisticated robotic control and task software. The robot motion control enables the articulated arms to rotate and slide joints and the mobile robots to move by locomotion and steering. This controlled speed enables the robot to perform these complex tasks with whatever the end effect is. Tasks can be manipulated, such as when using a gripper, or sensitive, such as when locating and capturing data with a camera.
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Using a robot to define movements and tasks - and often difficult to manage - components. As Figure 1 shows, the last influx, Of course, cancers works while the joints are controlled, but this creates a very complex relationship between the two. An equation describing the position of a probe held by a robotic arm can take pages and pages of trigonometric functions, but it can still be a simple aspect. Calculating the control solution of how the joints can be positioned to achieve the desired equipment position can only be recursively solvable.
Some robots have more than the minimum degree of freedom required to perform a task. These dynamically redundant robots are powerful but can be difficult to control. If you consider a surgeon, the extra joints enable an infinite number of ways to cut a chest and then the breast bone and allow us to reach smoothly around the various limbs to reduce joint pressure and avoid joint limitation by utilizing redundancy. For humans, this movement takes a lot of brainpower. For robots, redundancy enables the same smooth, efficient control, but it takes a ton of computer processing power.
A robot with multiple ways of performing a task should choose one or more attributes for optimal speed: maximizing distance from collisions, improving energy, reducing time, avoiding workplace limitations, reducing energy consumption, or improving accuracy. This speed control should also include limitations, considering that robotic joints have speed and acceleration limits and squares have maximum torque or force. The body parts of the robot cannot overlap in space and the joint cannot be crossed. These are the limitations imposed by the physical reality of robots and the world. Combining desired tasks, limitations, and optimization makes robot speed control a challenge
Friends, this is today's post about my technology. Hope you are well. I am requesting friends @parvag09 and @atik71 to participate these friends.
