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High repeatability is crucial for tasks where consistency is more important than absolute accuracy.
Current Trends: Sub-millimeter Repeatability: Many industrial tasks require extremely high consistency. Modern
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robots can achieve sub-millimeter repeatability, which is essential for tasks like spot welding in automotive production,
where the weld must be applied in the exact same location on every single car body to maintain structural integrity.
Real-time Example: In a factory producing smartphones, a robotic arm is used to pick up and place tiny electronic
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components onto a circuit board. The robot is commanded to pick up a component from a fixed position and
place it onto a specific location on the board. The robot’s high repeatability ensures that it can perform this task
millions of times without any variation, leading to a consistently high-quality product.
Improved Mechanical Design: A significant factor in achieving improved repeatability is the mechanical design of
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the robot. Stiffer, more rigid mechanical components and high-quality gearboxes are more reliable over repeated
cycles. They minimize joint play and other sources of mechanical variability, ensuring the robot can return to the
same position with very high consistency.
Real-time Example: A robot used for painting car parts requires high repeatability to ensure a uniform coating
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every time. The robot’s arm is built with high-quality, low-backlash gearboxes that minimize play in its joints. This
mechanical precision, combined with a well-tuned control system, allows the robot to follow the same path with
the paint spray gun over and over again, resulting in a consistent finish on every single car part.
Adaptive Control Systems: Advanced robots use adaptive control systems to improve repeatability. These systems
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can learn from their own past movements and adjust their control parameters to compensate for tiny, repeatable
errors. This is particularly useful for complex, repetitive motions, such as pick-and-place operations in logistics or
packaging, where a robot might handle millions of identical items over its lifetime.
Real-time Example: In a logistics warehouse in Bangalore, a robot is used for pick-and-place operations, moving
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items from a conveyor belt to a box. The robot’s adaptive control system learns the exact trajectory it needs to
follow to pick up and place an item. Over time, it refines this trajectory, compensating for any minor deviations,
ensuring that every single item is placed in the box with the same precision, leading to faster and more reliable
packaging operations.
So, resolution, accuracy, and repeatability are the three critical specifications that define a robot’s physical capabilities.
Resolution is about the smallest step it can take, accuracy is about hitting the intended target, and repeatability is about
hitting the same spot every time. A robot’s ability to master these three metrics is what makes it a powerful and reliable
tool for automation in today’s world.

REBOOT

Answer the following Questions:
1. Why are joints in robots often compared to human joints?
2. What would happen if a robot had only one degree of freedom?

3. Why is payload an important consideration for industrial robots?
4. Which material would you choose for a lightweight drone body, and why?
5. How are omni wheels different from normal wheels?

Case Study: A Surgical Assistant Robot for Minimally Invasive Surgery

Introduction
Building upon all the concepts we’ve discussed—from robot anatomy and programming to project management and
performance specifications—let’s now tie them all together in a single, comprehensive case study on the healthcare
industry. This will demonstrate how the various elements of robotics work in a practical, real-world application, showcasing
the incredible potential of New Age Robotics.
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Mechanical System