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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Peterson, Eric Hunter
• Antaya, Alexander Antonio
• Conroy, Katharine Francis
• Ralph, Thomas Vincent

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042419-220145

Advisor

• Hansen, Peter H.
• Putnam, Craig B.
• Miller, Bradley A.
• Jarvis, Susan M.

Year

• 2019

Sponsor

• Robots in Service of the Environment

Date created

• 2019-04-24

Resource type

• Major Qualifying Project

Major

• Computer Science
• Interdisciplinary
• Robotics Engineering

Rights statement

• In Copyright