SCOPE Projects

This year, the Blue Origin SCOPE Team will design and fabricate an automated thermal putty dispensing machine for use in a lab environment.

This year’s SCOPE team, like the 2024-2025 team will join a large interdisciplinary research team and contribute key components to proof-of-concept instructional games for K-3rd grade students developing reading skills.

Our team worked to automate a physically taxing process by designing tooling that reduces the manual strain on thumbs and improves the consistency of the quality check.

This SCOPE team will be developing a new tool to accurately identify the location of parasites in pre-processed fish and prototype a method for automated removal.

As a part of the NIH-funded HAFTRAP project, the AirPartners/Aerodyne SCOPE team created an integrated air quality measurement system that included both low and high-cost atmospheric chemistry instruments.

This year’s SCOPE team created an extensible object taxonomy framework and implemented an integrated active perception system to predict the performance of various object gripping strategies. This system can be used to enable a more diverse range of robot picking form factors and increase accuracy in warehouse operations at Amazon.

This year’s SCOPE team created a package manipulation robot, with an integrated perception system, that can be operated remotely. The robot control system can be used to remotely support Amazon associates and improve the ability to complete orders quickly.

Amazon Robotics is engaging SCOPE students in exploring the space of classifying living and non-living beings, locating them, and understanding the vectors they’re heading using commercial-grade and consumer-grade sensing systems.

The SCOPE team developed a custom tool with specific torque values to attach and remove avionics harness cable connectors to help decrease both the assembly time and turn-around time of the New Glenn launch vehicle.

This year's team worked to design a device to help technicians lift and transport batteries to work benches and installation locations.

In this project, our team worked closely with Blue Origin’s research and development lab to understand the standards and difficulties of PCBA rework and designed a workstation to revolutionize this process. This station is self-contained and significantly reduces lead times, allowing Blue Origin to complete all rework in-house.

The 2022-23 Brandeis SCOPE team overhauled the original Roshbash Lab FlyBox's hardware, assembly, and software, creating a robust and polished tool to track the behavior of genetically modified fruit flies over multiday periods.

The 2022-23 Bose SCOPE team worked with Bose to infuse sustainability and product circularity across its global business operations.

This year’s SCOPE team worked to create an AI-driven tool that identified opportunities to accelerate the delivery of life-changing treatments and enable data-informed rapid decision making, while limiting clinical supply process risks.

Our team was tasked with identifying opportunities for improved quantitative analysis for GCS complexity scoring. We leveraged existing data to propose a new complexity model and updated dashboard visualizations to deliver precise metrics to better inform GCS decision making.

A semi-automatic robotic spray-coating machine for simplifying and accelerating Blue Origin’s current in-house PCB rework process.