Topic: Artificial Intelligence -- "Scene Understanding" and "Feature Selection"

Youth Editorial Board Member of Intelligence & Robotics
College of Electrical Engineering and Automation, Hefei University of Technology, Hefei, Anhui, China.

Youth Editorial Board Member of Intelligence & Robotics
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China.

Topic: Problems and Algorithms of Feature Selection
Feature selection is an important data preprocessing technique in machine learning and deep learning. Feature selection can simplify the machine learning and deep learning models, improve accuracy and reduce computation time. This report mainly introduces problems and algorithms of feature selection, and focuses on the application of feature selection/feature map selection in shallow learning and deep learning.

Associate Editor of Intelligence & Robotics
College of IOT Engineering, Hohai University, Changzhou, Jiangsu, China.

Topic: Scene Understanding for Autonomous Robotics
Autonomous robots have developed rapidly recently and are used for somespecific scenarios such as urban search and rescue, home cleaning, etc. The expansion of robot application scope requires that the functions of robots are no longer limited to mechanized or programmed operation, narrow human-computer interaction, etc. It is expected that intelligent robots can realize autonomous working by perceiving the surrounding environment, and realize the interaction between robot, human, and environment. Thus, how to make robots understand the scenes like people has become a hot research topic. Scene understanding for autonomous robots is an active research field.