To estimate distances using an ultrasonic sensor with your EZ-B IoTiny, you can utilize the Ultrasonic Distance robot skill in ARC. This skill will allow you to measure the distance to an object using an HC-SR04 ultrasonic sensor or similar.

Here's a step-by-step guide on how to set it up:

1. Connect the Ultrasonic Sensor to the IoTiny:

   • Connect the VCC pin of the ultrasonic sensor to a +5V pin on the IoTiny.
   • Connect the GND pin of the sensor to a GND pin on the IoTiny.
   • Connect the Trigger (Trig) pin of the sensor to one of the Digital I/O pins on the IoTiny.
   • Connect the Echo pin of the sensor to another Digital I/O pin on the IoTiny.

2. Launch ARC:

   • Open the ARC software on your PC or mobile device.

3. Add the Ultrasonic Distance Skill:

   • In ARC, click on the Project tab, then Add Skill, and choose Sensors.
   • Find the Ultrasonic Distance skill and add it to your project.

4. Configure the Skill:

   • In the configuration window for the Ultrasonic Distance skill, select the Trigger and Echo pins that correspond to the connections you made on the IoTiny.
   • You can also adjust other settings such as the distance calculation method (Ping or Echo) and the units of measurement.

5. Use the Skill:

   • Once configured, the Ultrasonic Distance skill will provide real-time distance measurements.
   • You can use these measurements within ARC to trigger events, control movements, or make decisions in your robot's behavior.

6. Programming with the Data:

   • You can create scripts in ARC to utilize the distance data for various tasks, such as obstacle avoidance or object tracking.
   • Use the ControlCommand() function in ARC's scripting language to interact with the Ultrasonic Distance skill and retrieve the measured distance.

For more detailed information on using the Ultrasonic Distance skill, you can refer to the support documentation on the Synthiam website: https://synthiam.com/Support/Skills/Ultrasonic-Distance/Ultrasonic-Distance-16078

Remember, if you need to create more complex AI behaviors or process the sensor data in ways not supported by existing skills, you can develop your own custom robot skill using the guide provided by Synthiam: https://synthiam.com/Support/Create-Robot-Skill/Overview.

@mstephens_42 can you expand on your question?

I think Athena answered how to use an ultrasonic distance sensor in ARC but I'm curious if that is what you meant?

To clarify the use of AI for estimating distances with an ultrasonic sensor in ARC, it's important to understand that the ultrasonic sensor itself is not an AI device. It simply provides distance measurements based on the time it takes for an ultrasonic pulse to reflect off an object and return to the sensor. The "intelligence" comes into play when you use the data from the sensor to make decisions or perform actions with your robot.

If you're looking to incorporate AI-like behavior using the ultrasonic sensor data in ARC, you can create scripts or use existing robot skills that respond to the sensor's input in a way that mimics intelligent decision-making. For example, you could:

1. Create Conditional Scripts: Write scripts that cause the robot to take different actions based on the distance readings. For instance, if an object is detected within a certain range, the robot could stop, back up, or turn to avoid a collision.

2. Integrate with Movement Skills: Use the ultrasonic sensor data to control movement panels, such as making the robot follow a path while avoiding obstacles.

3. Data Analysis: Analyze the distance data over time to detect patterns or changes in the environment, which could inform more complex behaviors or navigation strategies.

4. Machine Learning: Although more advanced, you could feed the distance data into a machine learning model that the robot uses to make decisions. This would require external tools and programming outside of ARC's standard capabilities.

Remember, while ARC provides a robust platform for creating interactive and responsive robot behaviors, developing true AI capabilities would require additional programming and potentially integrating other software or services that specialize in AI and machine learning.