Research Interst

I am interested in RL for environments with continuous state and action spaces. This is a common setup in control theory and it requires more advanced techniques and theories thank considering discrete action space. I am interested in analyzing the effect of uncertainty/noise in performance of RL routines.

During my Ph.D., my research study focused on distributed control of linear heterogeneous multi-agent systems. More specifically, I obtained necessary and sufficient conditions for a group of linear heterogeneous agents to achieve a desired collective behavior like output regulation, $H_{\infty}$ output regulation, bipartite output regulation, multi-party output regulation and formation control. I also developed RL techniques for distributed control of multi-agent systems.

I am also interested in Simultaneous Localization And Mapping (SLAM) in Dynamic Environment Using Grid Based Map. During my master's study, I worked on navigation of a nonholonomic mobile robot in dynamic environment. The primal task of the robot was to do SLAM in a dynamic environment and for this purpose, I proposed algorithms to distinguish between dynamic and static obstacles, and to re-do path planning.