● Engineering various sensor interfaces on a robot ● Using Linux, ROS, Python, C/C++, OpenCL, OpenGL, GStreamer, OpenCV or similar ● Using deep learning AI frameworks for both training and inference, including TensorFlow, PyTorch and OpenVINO ● User Interface Development Tools such as QT, Websockets, and JavaScript ● Developing algorithms for robots或在真实或模拟环境中的无人机●通过现场数据收集和迭代来验证和改进设计●机器学习工作流程涉及擦洗,组织和注释图像和视频数据
主要关键词