Echo: Paving the Way for Titan's Autonomous Missions

When working on complex projects like autonomous tool detection and transportation in manufacturing environments, every algorithm, sensor, and piece of hardware counts. However, testing these elements directly on a large and sophisticated drone like Titan poses both a financial and operational risk. Enter Echo, our cost-effective quadcopter, serving as a crucial stepping stone in our algorithm testing pipeline.

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Introducing Titan: Advancing Tool Transportation in Smart Manufacturing

In modern manufacturing setups, efficient resource allocation and real-time responsiveness are more crucial than ever. This is where Human-Robot Collaboration (HRC) comes into play, bridging human intelligence with robotic precision. Enter Titan: our cutting-edge drone designed to facilitate tool transportation within a factory. Imagine a scenario where an operator is on the assembly line and needs a specific tool immediately; Titan can autonomously locate, pick up, and deliver the tool, reducing downtime and boosting productivity.

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GazeAviator: Eye-controlled drone navigation with NVIDIA Jetson Orin Nano

We all have our ways of sharing thoughts and feelings—from speech, using sign language, to even writing down notes or making gestures. But imagine if all these paths were suddenly out of reach? That's the reality for people with Locked-in Syndrome (LIS), who find themselves fully aware and capable of understanding everything around them but unable to move or speak due to almost complete paralysis. The only way they can express themselves is through eye movement.

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Decoding the Language of the Brain: A New Way to Classify Motor Events

Everything we do starts as a flicker of intention in the brain. In this project, we leverage this fundamental insight to predict human motor movements by processing brainwave signals captured through Electroencephalography (EEG). In this project, utilizing a public dataset, we employ Long Short-Term Memory networks (LSTM) and Convolutional Neural Networks (CNN) to accurately classify six distinct phases of hand motor events:

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