Robotics

Flying, walking, and roving machines. Browse the expertise on display in these robotics projects.

Humman following Automated Cart & Cashier System

URL: https://github.com/thisara011/Human-Following-Robot

Description:

Automated Cart & Cashier System GitHub repo: Automated Cart & Cashier. Features: Autonomous navigation, product recognition, self-checkout, transaction logging. Tech: Arduino, computer vision, payment integration. Get started with setup guide and sample code. Contributions welcome! MIT License. Revo

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OORB, Open Organic robotics the Opensource cloud-based robotics framework

URL: https://github.com/OORB-Open-Organic-Robotics/OORB-Core

Description:

OORB introduces an open-source framework for building and teaching organic robotics, simplifying the journey from idea to prototype for all skill levels. Aimed at revolutionizing educational resources in advanced robotics, OORB supports coding in any language and offers an easy-to-navigate, modular

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The Ground Robotic Oil Spill Surveillance (GROSS) System BY RC14668218

URL: https://selar.co/6u307l

Description:

The Ground Robotic Oil Spill Surveillance (GROSS) System is a programmed, autonomous mobile robot that patrols beside land crude oil pipelines, and other pipelines containing petroleum products to detect the onset of spills from the pipeline within FOUR (4) MINUTES. RC14668218.

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Emotion prediction using EEG or Brain machine interfacing

URL: https://colab.research.google.com/drive/1qSPydVQBqyVrHIr1n36XIbubFX6BMdKo

Description:

The project involves using brain-machine computing to predict emotions. This likely involves using brainwave data to identify patterns that correspond with different emotional states. The project is currently in progress, i am still collecting data, developing algorithms........

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Automated Weed Detection and Removal in Agricultural Fields Using oneAPI Toolkit

URL: https://github.com/Nitin-Mane/Automated-Weed-Detection

Description:

The proposed method uses a Residual Network (ResNet) architecture with Auto Mixed Precision (AMP) to classify images of crops and weeds. The use of AMP allows for dynamic adjustment of the precision of computations during training and inference, which can improve the model's performance.

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