# Title Team Members TA Documents Sponsor
22 SLAM on smartphones
Area Award: Smartphone Technology
Fengyuanshan Xu
Yixiao Lin
A spinning platform will be assembled on the moving robot. A ultrasonic sensor would be mount on top of the platform. The ultrasonic sensor will get the distance between the current robot to the surrounding objects and transfer it's own distance data to an arduino board. The arduino board will convert the data to become the format that a smart phone can process. Then, the processed information would be sent to a smart phone.

Then we want to connect our mapping system to a robotic programming platform called starL.
StarL can use a smartphone paired with a robot(irobot create) using Bluetooth and control it's movement. It is also capable of communication between robots.
After we have a self mapping system connected with starL, we would like to make it distributed, which means a number of robots working together to map some space. We are going to combine the distance information generated from each individual robot. By knowing the start position of every robot, this enables the robots to know the relative position to each other.

This project would require a power source, a circuit that helps control the motor, some sensor data filtering circuit, one motor for the spinning platform, C coding on arduino to process sensor data, java coding on android phone. We may need to add a circuit that helps transfer data from arduino to the phone.

Amphibious Spherical Explorer

Kaiwen Chen, Junhao Su, Zhong Tan

Amphibious Spherical Explorer

Featured Project

The amphibious spherical explorer (ASE) is a spherical robot for home monitoring, outdoor adventure or hazardous environment surveillance. Due to the unique shape of the robot, ASE can travel across land, dessert, swamp or even water by itself, or be casted by other devices (e.g. slingshot) to the mission area. ASE has a motion-sensing system based on Inertial Measurement Unit (IMU) and rotary magnetic encoder, which allows the internal controller to adjust its speed and attitude properly. The well-designed control system makes the robot free of visible wobbliness when it is taking actions like acceleration, deceleration, turning and rest. ASE is also a platform for research on control system design. The parameters of the internal controller can be assigned by an external control panel in computer based on MATLAB Graphic User Interface (GUI) which communicates with the robot via a WiFi network generated by the robot. The response of the robot can be recorded and sent back to the control panel for further analysis. This project is completely open-sourced. People who are interested in the robot can continue this project for more interesting features, such as adding camera for real-time surveillance, or controller design based on machine learning.

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