DeltaBot

Statistics and analytics have become an increasingly important part of all competitive sports.  Through rigorous data collection and post-game analysis, the past and future performance of teams can be explained and predicted. Up to this point, however, FIRST robotics teams haven’t been able to take advantage of these mechanisms.

DeltaBot’s aim is to bring the FRC competition into the new world of sports analytics. Through a system that can capture robot location, speed, agility, position, etc., and make that data available in real-time, FRC teams will be able to develop new approaches to scouting and match strategy, while exploring new and exciting emerging technologies – technologies that will make them an even more valuable choice for top colleges and institutions.

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Project Lead: Riya Aggarwal

Contributors:

Date Completed: In Progress

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Elements

DELTABot will consist of three main parts. A small independent device (represented by yellow circles) will sit on a FRC robot as it drives around the field. It will then gather data through sensors on the device pertaining to the current actions it is experiencing. The device will then transmit this data to four towers (orange triangles) located on the corners of the robotics field. The towers will utilize the received data to triangulate the robot’s position. The processing unit, positioned outside of the field, is the final element and will be used to analyze this data (green rectangle).

Experiment

Before developing a device that can determine a robot’s position on an FRC field, an experiment was designed to test the ability of current locating technologies. The focus of the experiment was to investigate whether Bluetooth Low Energy (BLE) can be used to precisely determine location. Along with this primary purpose, secondary purpose include assessing the impact of stand height, orientation of a broadcaster, and location of the beacon for precise triangulation on an FRC field.

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Aftermath of Experiment

After building height-adjustable stands, designing a 3D-printed device holder to secure the beacon in, and developing programs that reflect the discussion between the transmitting beacon and receiving beacons, the experiment was conducted. Over 8,000 lines of data were gathered as the data analysis stage ensued. The broad conclusion that BLE isn’t sufficient for determining location was reached and launched us into the current phase of writing a paper that reflects the findings, conclusions, and implications we encountered.