Mohamed Naveed Gul Mohamed

Orcid: 0000-0001-5718-2261

According to our database1, Mohamed Naveed Gul Mohamed authored at least 21 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
State Forecasting in an Estimation Framework with Surrogate Sensor Modeling.
CoRR, April, 2026

2025
Information-State-Based Reinforcement Learning for the Control of Partially Observed Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., December, 2025

Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation.
CoRR, November, 2025

Optimal Control with Lyapunov Stability Guarantees for Space Applications.
CoRR, October, 2025

The Search for Feedback in Reinforcement Learning.
Proceedings of the 2025 American Control Conference, 2025

An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems.
Proceedings of the 2025 American Control Conference, 2025

Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems.
Proceedings of the 2025 American Control Conference, 2025

2024
Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space.
CoRR, 2024

An Optimal Solution to Infinite Horizon Nonlinear Control Problems: Part II.
CoRR, 2024

On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics.
CoRR, 2024

Convexity in Optimal Control Problems.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
An Optimal Solution to Infinite Horizon Nonlinear Control Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

The Information-State Based Approach to Linear System Identification.
Proceedings of the American Control Conference, 2023

2022
On the Feedback Law in Stochastic Optimal Nonlinear Control.
Proceedings of the American Control Conference, 2022

2021
Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks.
IEEE Trans. Robotics, 2021

Structure Aided Odometry (SAO) : A Novel Analytical Odometry Technique Based on Semi-Absolute Localization for Precision-Warehouse Robotic Assistance in Environments with Low Feature Variation.
J. Intell. Robotic Syst., 2021

Experiments with Tractable Feedback in Robotic Planning Under Uncertainty: Insights over a Wide Range of Noise Regimes.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
On the Convergence of Reinforcement Learning.
CoRR, 2020

Near Optimality and Tractability in Stochastic Nonlinear Control.
CoRR, 2020

2019
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes.
CoRR, 2019


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