SCOPE Projects

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.

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 is creating a comprehensive object taxonomy for Amazon’s diverse product catalog, which in conjunction with advanced perception systems, is the beginning of revolutionizing the way autonomous robots are used for object manipulation. This system can be used to increase accuracy in warehouse operations. 

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.

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 will be working closely with Blue Origin to understand the standards and difficulties of PCB rework and designing a workstation to aid in this process. This station will be self-contained and easily accessible by the avionics team, reducing lead times wherever possible. Major challenges include understanding and designing around worker ergonomics and mitigating environmental hazards.  

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 project will review the manual complexity and risk assessment work in GCS, and recommend an automation framework by conducting data analysis and machine learning along with implementing a proof of concept using the framework. This will enable timely response to changes and aid in efficiently allocating GCS resources.

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

The 2022-23 FCAT SCOPE team developed Coin-Test, a publicly available, open-source Python library that provides a novel approach to evaluating cryptocurrency trading strategies.

Avalanche Energy is working on new electrostatic confinement technology to make a bench top nuclear fusion generator. Our project was to investigate the feasibility of compact high voltage power supplies that can operate in the range of hundreds of kilovolts and interface with their preexisting system.

The BU WISE SCOPE team worked with generative AI models to create a web-app that will act as a “literacy buddy" for students and a teaching assistant for teachers.

LineVision challenged the Olin SCOPE team to investigate the performance capabilities of our next-generation edge infrastructure through the development of a proof-of-concept system for real-time monitoring of the transmission-line right-of-way.