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Grip is a functional robotic hand controlled by muscle activity and/or neural signals. Using non-invasive sensors (such as surface EMG), the system translates user intent into precise hand movements. The project combines mechanical design, embedded systems, and AI-driven gesture recognition for intuitive and natural control
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86
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refactor: refactor code structure for improved readability and maintainability
fd57990View on GitHubMerge pull request #31 from CogitoNTNU/feat/no_filter
077ee7cView on GitHubfeat: implement strategy pattern for filters, and train the best model yet
5cfcc60View on GitHub