Ihab S. Mohamed
Engineering · Indiana University
Publications
36
Citations
874
Est. group size
—
Recurring co-author estimate
Active years
47
Publishing since 1980
Ihab S. Mohamed works on advanced control methods for robots and power systems. A major focus is sampling-based Model Predictive Control (a technique for planning a system's future actions while respecting constraints and uncertainty), applied to autonomous navigation of vehicles and drones in cluttered, uncertain environments. Related work applies model predictive and neural-network-based control to power electronics such as inverters and DC/DC converters for microgrids.
Publication output has been fairly steady over the past decade, averaging a few papers per year with a peak around 2021.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments
IEEE Robotics and Automation Letters · 2025
- Toward Efficient MPPI Trajectory Generation With Unscented Guidance: U-MPPI Control Strategy
IEEE Transactions on Robotics · 2025
- Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments
arXiv (Cornell University) · 2025
- GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
arXiv (Cornell University) · 2023
- Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy
arXiv (Cornell University) · 2023
- GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
2023
- Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications
Energies · 2023
- Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy
arXiv (Cornell University) · 2022
- From <i>MPC</i>-Based to End-to-End <i>(E2E)</i> Learning-Based Control Policy for Grid-Tied <i>3L-NPC</i> Transformerless Inverter
IEEE Access · 2022
- Autonomous Navigation of <i>AGV</i>s in Unknown Cluttered Environments: <i>Log-MPPI</i> Control Strategy
IEEE Robotics and Automation Letters · 2022
- An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter
IEEE Access · 2022
- An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter
arXiv (Cornell University) · 2021
- Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
arXiv (Cornell University) · 2021
- Sampling-Based MPC for Constrained Vision Based Control
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2021
- Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
2021
- arXiv (Cornell University)×11
- IEEE Access×4
- IEEE Robotics and Automation Letters×2
- IEEE Transactions on Robotics×1
- International Journal of Modelling Identification and Control×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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