Rolling Inside a Ball

Introduction

At databot, we are always looking for exciting ways to explore physics, data, and hands-on STEM learning. One of our favorite experiments involves placing databot inside a rolling ball and capturing gyroscope data to analyze motion in a fun and interactive way!

The gyroscope inside databot measures angular velocity—the speed at which the device rotates around its X, Y, and Z axes. By examining this data, students can uncover fascinating insights into rotational motion, stability, and impact. What happens when the ball rolls smoothly? What does the data look like when it wobbles, spins, or collides with an obstacle? These are just a few of the questions that make this experiment an exciting opportunity for discovery!

In this blog, we will dive into the science behind gyroscope data, explore how to visualize motion through graphs, and share ideas for classroom investigations. Whether you’re studying physics, engineering, or data science, this experiment offers a dynamic way to connect real-world movement with digital analysis. Let’s roll!

What is a Gyroscope?

A gyroscope is a sensor that measures angular velocity—how fast an object is rotating around an axis. It works based on the principles of angular momentum, which means that a spinning object resists changes to its orientation. Gyroscopes are widely used in various technologies, from smartphones and drones to spacecraft and robotics.

How Does a Gyroscope Work?

A gyroscope detects rotation by measuring the rate of change in angular velocity (usually in degrees per second, °/s). It typically consists of a small vibrating structure that responds to changes in motion. When an object rotates, the Coriolis effect causes shifts in this structure, allowing the sensor to calculate rotational speed along three axes:
🔹 X-axis – Side-to-side rotation (tilting left or right)
🔹 Y-axis – Forward and backward tilt
🔹 Z-axis – Spinning motion (like a top)

To deepen your understanding of the gyroscope sensor, be sure to check out our detailed lesson available on the website.
https://databot.us.com/ss-gyroscope/

This powerful tool enables exciting experiments, such as rolling databot inside a ball, studying rotational forces, and analyzing movement stability across different surfaces. With the gyroscope in databot, we can explore the fascinating physics of motion in a hands-on, engaging way! 

About databot™

databot™ learning solutions transform the way K12 students experience data, science, and technology.  In the classroom, after-school, and in the home, our mission is to make interacting with and understanding data a beautiful, fun, and ubiquitous experience. One that crosses the traditional boundaries of all learning environments.  The world is driven by data and we are driven to teach future generations how to use it for good.  We create data powered technology and brilliant learning activities that empower students everywhere to think deeply, explore with passion, and solve our planetary scale challenges. 

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Background

Understanding rotational motion through gyroscope data isn’t just an interesting classroom experiment—it has real-world applications in sports, engineering, and even robotics. By analyzing how an object rolls, spins, or wobbles, we can gain insights that impact equipment design, athletic performance, and even autonomous navigation systems.

✅ Golf – Improving Spin Control

In golf, the way a ball spins after impact directly affects its trajectory, distance, and how it behaves on the green. By using a gyroscope to measure the spin rate and axis of rotation, players and equipment designers can optimize club design and improve playing techniques to achieve more accurate shots.

✅ Soccer – Analyzing Curved Shots

When a soccer player kicks the ball with a curved trajectory (like a "banana shot"), the Magnus effect causes the ball to swerve. Gyroscopic data can help coaches and players understand how different kicking techniques influence spin, allowing them to refine their skills for better shot accuracy and control.

✅ Billiards – Perfecting Cue Ball Spin

In billiards, applying spin (or "English") to the cue ball can change how it interacts with other balls and the table. Gyroscope data could provide insights into how different stroke techniques affect spin and rebound angles, helping players develop more precise control over their shots.

✅ Autonomous Robots – Navigating Uneven Surfaces

Robots that move using wheels or rolling mechanisms need to maintain balance and stability. By analyzing rolling motion in different conditions, engineers can refine robotic movement algorithms for better navigation on rough terrain.

How Did We Set Up the Experiment​

We have long dreamed of placing databot inside a ball to study its movement using a gyroscope. We were curious to see how it reacts to rotation, impacts, and different surfaces. Gyroscopic data allows us to explore motion dynamics—how smoothly the ball rolls, what forces act on it during collisions, and how quickly it changes direction.

For our test, we initially used a puzzle-style ball, but we realized that a universal solution was needed so that anyone could replicate the experiment. This led us to create a 3D-printable model—a custom housing for the databot that allows it to be securely placed inside a rolling sphere. Now, you can try this experiment yourself, explore the motion of a ball using gyroscopic data, and perhaps uncover new insights into rotational physics! 🚀

Vizeey app

To work with databot, we will need the Vizeey app. With this program, we will be able to see the experiment’s results and measurements in real-time.
If you haven’t used the Vizeey program before, follow the link to download and set it up. There, you’ll find a detailed guide on installation and how the software works. 

Graph and data

We placed the databot inside a sphere and conducted several experiments. At first glance, analyzing the data graphs can seem challenging. Each axis displays its own values—some moving in a positive direction, others in a negative one.

With a bit of practice, you can start to understand how each axis represents the ball’s rotation and the speed at which it spins. Let’s take a look at the experiments we conducted and decode some of the data graphs!

Experiment 1: Analyzing Ball Rotation Across Axes

In this experiment, we observed how the ball rotates along different axes and recorded the gyroscope data. The results reveal how the ball spins in both clockwise and counterclockwise directions:

🔹 Y-Axis Rotation – The ball tilts forward and backward, showing motion in both clockwise and counterclockwise directions.
🔹 X-Axis Rotation – The ball rolls side to side, displaying changes in direction along this axis.
🔹 Z-Axis Rotation – The ball spins like a top, indicating rotational movement around its vertical axis.

By analyzing these patterns, we can better understand the relationship between motion and gyroscopic data.

Experiment 2: Spinning the Ball

In this experiment, the ball was launched with a spin—a technique often used in sports to alter the trajectory of a moving ball.

🔹 Z-Axis Rotation – The graph shows a downward trend, indicating that the ball started spinning rapidly.
🔹 Spin Decay – As the ball gradually lost its spin, the data values on the graph moved back toward zero, showing how the rotation slowed over time.

Understanding spin dynamics can help in analyzing ball movement in sports like soccer, golf, and table tennis.

Experiment 3: Rolling the Ball in a Straight Line

In this experiment, the ball was launched in a straight path without spin. The gyroscope data provides key insights into its motion:

🔹 Y-Axis Spike – A significant drop appears on the graph, representing the initial impulse when the ball was pushed.
🔹 X and Z-Axis Peaks – Two large spikes indicate the moments when the ball collided with an obstacle.
🔹 Final Motion – After the impact, the ball slowed down and eventually came to a stop, with gyroscope values returning near zero.

This experiment helps us visualize how forces act on a rolling object, revealing patterns in motion and collision dynamics.

See the Experiment and Data in Action!!

More Details

Thanks to databot, we can uncover patterns in motion and collision dynamics by translating complex rotational behavior into visual graphs. These experiments serve as an engaging introduction to the analysis of rotational motion, helping us understand how objects behave when forces act upon them.

This is just the beginning of exploring the fascinating world of rotational dynamics. By diving deeper into various types of movement—such as spinning, bouncing, and curved trajectories—we gain powerful insights into the physics behind everyday motion, from the spin of a soccer ball to the precision of mechanical systems in engineering.

On our website, you’ll also find a comprehensive collection of lessons and experiments designed to spark curiosity and deepen understanding. Whether you’re a student, teacher, or enthusiast, these hands-on activities offer exciting ways to explore science through real-world applications and interactive data. Let the journey of discovery begin!