Sparse Unsupervised Clustering with Mixture Observations for Video Summarization

This paper designs a robot rapid moving strategy based on curve model. The virtual target points are introduced into the path planning of the robot so that the robot can complete the task smoothly and quickly. We give the method to solve the curve model in detail. At the same time, the design of state feedback from the robot control model based on the turning radius is used to solve the practical error problem. Simulation experiments show that the design of virtual target points can not only make the robot complete the task faster, but also can be applied to multi-robot formation control. The real experiment shows that the curve model can correct the error through the robot state feedback and finally make the robots reach the target point successfully.