Posts Tagged ‘Gomes’
Capstone Project Profile: Developing an Affordable Alternative for Autonomous Vehicle Localization using High-Definition Radar Images
Localization of autonomous vehicles on the road currently relies on LiDAR (using lasers) and camera sensors which simultaneously map the environment around the car. Using high-definition radar images, we propose an algorithm to achieve an equivalent performance with a technology that is cheaper, easier to install, and less susceptible to adverse weather conditions such as…
Read MoreCapstone Project Profile: Personalizing Neurological Patient’s Gait Therapy Using Machine-Learning-Based Electrical Stimulation
Neurological damage such as stroke, multiple sclerosis, and spinal cord injury cause walking impairments. The EvoCode team is improving the EvoWalk, a medical device developed by Evolution Devices, which corrects abnormal gait patterns of patients by electrically stimulating lower-limb muscles. The team aims to use machine learning techniques such as clustering and neural networks to…
Read MoreCapstone Project Profile: Electric Load Forecasting and Optimization for Distributed Energy Technologies
Small electric utilities often lack the sensor infrastructure to monitor their load effectively. This lack of data hinders their ability to take advantage of new distributed energy resources that can improve grid resiliency and reduce peak demand. The Post Road Foundation team developed an electrical load forecasting model that uses limited data sets to accurately…
Read MoreCapstone Project Profile: Object Scanning and Replication Using 3D Camera
3D printing technology is not only becoming ever more pervasive in design and manufacturing applications, but it is also making an increasing impact to our daily life. A CAD model is usually required as an input, which are often difficult to create. Our project addresses this problem by providing a cheap and fast 3D scanning…
Read MoreCapstone Project Profile: Coding-Free Robot Control – Rapid Learning for Automated Processes
Industrial robot arms are widely used in various fields including manufacturing automation. When these robots need to adapt to a new production task, reprogramming of the control is the key. Our goal is to make this transition process more user-friendly, cost-effective, and adaptive, by enabling a robot arm to mimic human motions without explicit programming.…
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