Robotics/Automation

Intelligent Seafood Quality Assurance System – Phase 2

The SCOPE team will develop and evaluate an early-stage system integrating sensing, engineering, and automation methods to support greater consistency, efficiency, and employee experience in seafood processing.

Human Detection in Robotic Navigation

Low-Cost Robotics Detection, Classification, and Tracking

Amazon Robotics engaged 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.

Automated Thermal Interface Material Applicator

The Blue Origin SCOPE team designed and fabricated an automated thermal interface material (TIM) application machine for use in a production environment.

Push Test- Continued Automation

As part of New Balance’s continual work to improve associates' work experience while maintaining high-quality standards, the SCOPE students built upon the 2025 SCOPE team's work to develop a highly-automated solution, creating tooling that reduces the manual tests and improves the consistency of the quality check.

Crosswalk Safety Automation

This team explored opportunities to automatically identify the presence of pedestrians and activate safety measures to improve pedestrian safety.

Identifying Manufacturing Variations in Computerized Stitching

Our team worked with New Balance to investigate certain manufacturing processes for New Balance shoes at their Lawrence, MA factory.  

Push Test Automation

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.

CNC Conformal Coating Machine

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

Robotic Manipulation using Tactile Feedback

To help Amazon Robotics' research and development efforts, this year's SCOPE team created a robotic system that utilizes tactile and vision sensors to grasp a ball and throw it to reach a specified target.

Amazon Object Manipulation Taxonomy

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.

Improving CT Scanner Alignment During Installation 

The 2022-23 GE Healthcare SCOPE team worked to improve CT image quality by creating a tool or process that will allow CT scanner installation technicians to achieve increased alignment precision. 

The Automated Lift Object System

This year's SCOPE team built off a perception system for remote control of a robot developed by last year’s team resulting in increased manipulation efficiency and reduced onboarding duration and complexity for operators. 

Amazon Robotics

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.

Olin Robot Lab

Miniature Marine Robots for Collective Behaviors