This Guide to the Best Video Annotation Tools for Robotics explains the importance of video annotation in training AI-powered robots. Video annotation involves labeling objects, actions, and areas in video footage, which is essential for developing machine learning and computer vision models that enable machines to "see" and understand their environments. The choice of annotation tool directly impacts the development of a robust ML model, which in turn affects the robot's performance in real-world environments. Encord stands out as a top choice due to its strong automation, collaboration features, video annotation support, and seamless integration with AI workflows, making it an excellent option for robotics applications.