Yanzhen Wang
Papers
13
Total Citations
118
H-Index
8
About
Yanzhen Wang is a leading researcher in multi-robot systems and robot operating systems, with a focus on fault-tolerant cooperation, swarm intelligence, and connectivity preservation. Their major contributions include the development of ALLIANCE-ROS, a software framework that brings robust, fault-tolerant cooperative control to the Robot Operating System (ROS), enabling reliable multi-robot coordination. Wang also pioneered micROS, a morphable and collective robot operating system designed to unify individual and swarm robot software architectures. In the realm of learning-based control, they applied deep Q-learning and DDPG to preserve connectivity in multi-robot systems, addressing a critical challenge for distributed coordination. Their work on removing dynamic 3D objects from point clouds has improved SLAM accuracy in real-world environments, while their distributed control methods for flocking nonholonomic agents advance autonomous aerial vehicle maneuvering. With over 100 citations across their top papers, Wang’s research has significantly shaped modern multi-robot software engineering and intelligent control, earning recognition for bridging theoretical frameworks with practical ROS implementations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Removing dynamic 3D objects from point clouds of a moving RGB-D camera16 citations · 2015
- 3
- 4Deep Q-Learning to Preserve Connectivity in Multi-robot Systems12 citations · 2017
- 5micROS: a morphable, intelligent and collective robot operating system11 citations · 2016
- 6
- 7An Actor-based Programming Framework for Swarm Robotic Systems10 citations · 2020
- 8
- 9Subsumption model implemented on ROS for mobile robots5 citations · 2016
- 10SARRT: A structure-aware RRT-based approach for 2D path planning4 citations · 2015