most citedRSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments

1 citations · 1 across the 7 of their papers we have counts for

collaborators

11 papers

cs.GT2026

A Data Driven Structural Decomposition of Dynamic Games via Best Response Maps

Mahdis Rabbani, Navid Mojahed, Shima Nazari

Dynamic games are powerful tools to model multi-agent decision-making, yet computing Nash (generalized Nash) equilibria remains a central challenge in such settings. Complexity ari…

math.OC2025

Fractional Calculus in Optimal Control and Game Theory: Theory, Numerics, and Applications -- A Survey

Navid Mojahed, Hooman Fatoorehchi, Shima Nazari

Many physical, biological, and engineered systems exhibit memory effects that challenge Markovian models. Fractional calculus provides nonlocal operators to capture hereditary dyna…

eess.SY2025

Fleet Size and Mix Capacitated Vehicle Routing Problem with Time Windows for Mobile Fast Chargers

Farhang Motallebi Araghi, Armin Abdolmohammadi, Navid Mojahed +1

The electrification of off-road heavy equipment presents operational challenges for agencies serving remote sites with limited fixed charging infrastructure. Existing mobile fast c…

eess.SY2025

Predictive Compensation in Finite-Horizon LQ Games under Gauss-Markov Deviations

Navid Mojahed, Mahdis Rabbani, Shima Nazari

This paper develops a predictive compensation framework for finite-horizon, discrete-time linear quadratic dynamic games subject to Gauss-Markov execution deviations from feedback…

cs.RO20251 cited

RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments

Mobin Habibpour, Alireza Nemati, Ali Meghdari +2

Simultaneous Localization and Mapping (SLAM) plays an important role in many robotics fields, including social robots. Many of the available visual SLAM methods are based on the as…

cs.RO2025

Efficient Optimal Path Planning in Dynamic Environments Using Koopman MPC

Mohammad Abtahi, Navid Mojahed, Shima Nazari

This paper presents a data-driven model predictive control framework for mobile robots navigating in dynamic environments, leveraging Koopman operator theory. Unlike the convention…