This paper modifies the single rigid body (SRB) model, and considers swinging leg as disturbances to centroid acceleration rotational of SRB model. proposes deep reinforcement learning (DRL)-based model predictive control (MPC) resist leg. The DRL predicts swing disturbances, then MPC gives optimal ground reaction forces according predicted disturbances. We use proximal policy optimization (PPO...

The paper presents a new family of controllers for swinging up a pendulum. The swinging up of the pendulum is derived from physical arguments based on two ideas: shaping the Hamiltonian for a system without damping; and providing damping or energy pumping in relevant regions of the state space. A family of simple smooth controllers without switches with nice properties is obtained. The main res...

Convolutional Architecture for Fast Feature Encoding (CAFFE) [11] is a software package for the training, classifying, and feature extraction of images. The UCF Sports Action dataset is a widely used machine learning dataset that has 200 videos taken in 720x480 resolution of 9 different sporting activities: diving, golf, swinging, kicking, lifting, horseback riding, running, skateboarding, swin...

The problem of fault tolerance in cooperative manipulators rigidly connected to an undeformable load is addressed in this paper. Four categories of faults are considered: free-swinging joint faults (FSJFs), locked joint faults (LJFs), incorrectly measured joint position faults (JPFs), and incorrectly measured joint velocity faults (JVFs). Free-swinging and locked joint faults are detected via a...

INTRODUCTION Inverted tooth impaction is a rare occurrence. Third molar impaction is the most extensively studied, and only eight cases of inverted third molars have been reported in a literature search of 40 years from 1973 to 2013. In a study, 43.4% of the premaxillary supernumeraries were inverted and 21.1% were transversely oriented, while occasional inverted central incisors have been ment...