collaborators

10 papers

cs.RO2025

Distributed Fault-Tolerant Multi-Robot Cooperative Localization in Adversarial Environments

Tohid Kargar Tasooji, Ramviyas Parasuraman

In multi-robot systems (MRS), cooperative localization is a crucial task for enhancing system robustness and scalability, especially in GPS-denied or communication-limited environm…

eess.SY2025

Event-Based Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty

Tohid Kargar Tasooji, Sakineh Khodadadi

This paper addresses the problem of event-based distributed Linear Quadratic Gaussian (LQG) control for multirobot coordination under localization uncertainty. An event-triggered L…

eess.SY2025

Cubature Kalman Filter as a Robust State Estimator Against Model Uncertainty and Cyber Attacks in Power Systems

Tohid Kargar Tasooji, Sakineh Khodadadi

It is known that the conventional estimators such as extended Kalman filter (EKF) and unscented Kalman filter (UKF) may provide favorable performance; However, they may not guarant…

eess.SY2025

Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty

Tohid Kargar Tasooji, Sakineh Khodadadi

This paper addresses the problem of distributed coordination control for multi-robot systems (MRSs) in the presence of localization uncertainty using a Linear Quadratic Gaussian (L…

eess.SY2025

Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors

Tohid Kargar Tasooji, Sakineh Khodadadi, Guangjun Liu

Autonomous Micro Aerial Vehicles (MAVs), particularly quadrotors, have shown significant potential in assisting humans with tasks such as construction and package delivery. These a…

cs.RO2025

Multi-Robot Coordination Under Physical Limitations

Tohid Kargar Tasooji, Sakineh Khodadadi

Multi-robot coordination is fundamental to various applications, including autonomous exploration, search and rescue, and cooperative transportation. This paper presents an optimal…