Project

# Title Team Members TA Documents Sponsor
17 Adaptive Lighting
Jered Greenspan
Madhav Khanna
Sichao Wang
appendix0.zip
design_document0.pdf
final_paper0.pdf
presentation0.pdf
proposal0.pdf
An adaptive lighting system that responds to the environment in setting the brightness and color temperature of an LED light, using occupancy detection and current light levels. A sensor unit will be set on a table, and wirelessly transmit to a microcontroller that controls an RGB LED array. This work will improve upon the project "Color Adaptive Interior Lighting" and "Adaptive Solid State Lighting" from fall 2011 by utilizing a color sensor, CCT setpoints, an occupancy sensor, and will be adaptable to multiple lighting sources. We hope that this system will lower overall power usage, and lead to a more pleasing lighting experience.

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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