most citedInformable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

8 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2023

Multi-Objective Complementary Control

Jiapeng Xu, Xiang Chen, Ying Tan +1

This paper proposes a novel multi-objective control framework for linear time-invariant systems in which performance and robustness can be achieved in a complementary way instead o…

eess.SY2023

Robust Tracking Control for Nonlinear Systems: Performance optimization via extremum seeking

Jiapeng Xu, Ying Tan, Xiang Chen

This paper presents a controller design and optimization framework for nonlinear dynamic systems to track a given reference signal in the presence of disturbances when the task is…

eess.SY2022

On Robust Observer Design for System Motion on SE(3) Using Onboard Visual Sensors

Tong Zhang, Ying Tan, Xiang Chen +1

Onboard visual sensing has been widely used in the unmanned ground vehicle (UGV) and/or unmanned aerial vehicle (UAV), which can be modeled as dynamic systems on SE(3). The onboard…

eess.SY2022

Robust output regulation of linear system subject to modeled and unmodeled uncertainty

Zhicheng Zhang, Zhiqiang Zuo, Xiang Chen +2

In this paper, a novel robust output regulation control framework is proposed for the system subject to noise, modeled disturbance and unmodeled disturbance to seek tracking perfor…

cs.RO2022★ 8 cited

Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

Jiunn-Kai Huang, Yingwen Tan, Dongmyeong Lee +2

Multi-objective or multi-destination path planning is crucial for mobile robotics applications such as mobility as a service, robotics inspection, and electric vehicle charging for…

cs.CV2022★ 2 cited

Optimization of Directional Landmark Deployment for Visual Observer on SE(3)

Zike Lei, Xi Chen, Ying Tan +2

An optimization method is proposed in this paper for novel deployment of given number of directional landmarks (location and pose) within a given region in the 3-D task space. This…