Ruiquan Wang

Abstract PIWI-interacting RNAs (piRNAs) are widely expressed in cardiac tissues and play important roles in cardiac pathophysiology. However, their functions and molecular mechanisms in cardiac remodeling following myocardial infarction (MI) and cardiomyocyte ferroptosis remain largely unknown.

Abstract : Visual servoing is widely used in the peg-in-hole assembly due to the uncertainty of pose. Humans can easily align the peg with the hole according to key visual points/edges. By imitating human behavior, we propose P2HNet, a learning-based neural network that can directly extract desired landmarks for visual servoing. To avoid collecting and annotating a large number of real images for training, we built a virtual assembly scene to generate many synthetic data for transfer learning.

Abstract : On-orbit operation tasks require the space robot to work in an unstructured dynamic environment, where the end-effector’s trajectory and obstacle avoidance need to be guaranteed simultaneously. To ensure the completability and safety of the tasks, this paper proposes a new obstacle-avoidance motion planning method for redundant space robots via reinforcement learning (RL).