The project develops an intelligent robotic arm system, implementing deep learning on a microcontroller for adaptive control, an intelligent grasping mechanism for varying tree trunk sizes, and low-cost microcontroller-based obstacle detection, path planning, and location estimation. A software application enables seamless switching between manual and autonomous operation modes.
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