Article Collection by Female Scholars from Intelligence & Robotics

In celebration of International Women’s Day, Intelligence & Robotics (IR) is proud to release an article collection featuring the exceptional research of female scholars. This collection highlights groundbreaking work across diverse fields and showcases the significant contributions of women to artificial intelligence and robotics.

Featured Articles:

1. SKPNet: snake KAN perceive bridge cracks through semantic segmentation
Corresponding author: Di Wang, Chongqing Jiaotong University, China.

2. Adaptive variational empirical mode decomposition aware intelligent data-driven modeling for complex industrial processes
Corresponding author: Xiuli Zhu, University of Shanghai for Science and Technology, China.

3. A novel zero-force control framework for post-stroke rehabilitation training based on fuzzy-PID method
Corresponding author: Chen Wang, Chinese Academy of Sciences, China.

4. UAV path planning based on a dual-strategy ant colony optimization algorithm
Corresponding author: Na Dong, Tianjin University, China.

5. Reinforcement learning methods for network-based transfer parameter selection
Corresponding author: Yue Guo, Carnegie Mellon University, USA.

6. Reinforcement learning with parameterized action space and sparse reward for UAV navigation
Corresponding author: Lu Ren, Anhui University, China.

7. Application of distributed and decentralized technologies in the management of intelligent transport systems
Corresponding author: Luba Eremina, Don State Technical University, Russia.

8. ChatGPT in connected and autonomous vehicles: benefits and challenges
Corresponding author: Lei Lei, University of Guelph, Canada.

9. An overview of intelligent image segmentation using active contour models
Corresponding author: Guina Wang, Soochow University, China.

These studies reflect the talent, dedication, and creativity of female scholars driving progress in these vital areas. Let us celebrate their achievements and continue to encourage more women to pursue careers in technology and innovation.

Editor: May Li
Language Editor: Emma Chen
Production Editor: Ting Xu
Respectfully Submitted by the Editorial Office of Intelligence & Robotics (IR)