Real-world tasks often require combinations of both discrete and rhythmic movements. However, most of current methods can only address one of them. This letter proposes a unified framework, Wavelet Movement Primitives (WMPs), which are built on Probabilistic Movement Primitives (ProMPs) integrated with Discrete Wavelet Transform (DWT), to model and learn both discrete and rhythmic trajectories fro...Show More
To address the writing needs of visually impaired individuals, this paper proposes an air-writing segmentation and reproduction system that combines the advantages of air-writing with the efficiency of robotic learning by demonstration (LID). The solution utilizes the Mediapipe Hand to record the writer's continuous spatial character trajectory in front of the camera, and later uses a rule-based a...Show More
