Faculty Advisor

Hansen, Peter H.

Faculty Advisor

Jarvis, Susan M.

Faculty Advisor

Miller, Bradley A.

Faculty Advisor

Putnam, Craig B.

Abstract

The Lionfish MQP team worked with Robots in Service of the Environment, to improve their computer vision, electrical panels and intake mechanism on their lionfish capturing robot. The team created an object detection model that can identify the location of lionfish in a video. This model can be used by RSE to automate the capturing of lionfish. The RSE robot has two electrical panels which are used to stun a lionfish before it is captured. The team researched and tested different panel configurations and recommended a design that would increase the effectiveness of the electrical system. The team also developed an alternative to the existing lionfish intake mechanism on the RSE robot. The mechanism utilizes two cleated conveyor belts that work in tandem to gently capture a lionfish.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2019

Major

Computer Science

Major

Robotics Engineering

Major

Interdisciplinary

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Humanities and Arts

Advisor Department

Electrical and Computer Engineering

Advisor Department

Computer Science

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