Real-Time Person Tracking and Obstacle Avoidance using NVIDIA JetBot:
The idea is to use Nvidia JetBot robot and integrate YOLO for object (face) detection and and real-time person tracking with reinforcement learning (RL) for obstacle avoidance, ensuring it follows the person at a set distance while avoiding obstacles. Both models (Multimodel) will be trained using PyTorch, and deploy them on JetBot using C++ and OpenCV with TensorRT for performance optimization.
The objective is to enable the JetBot robot to recognize and follow a specific person while maintaining a safe distance and avoiding obstacles in real time.
I am seeking an expert developer to do this task.
