3 citations · 6 across the 12 of their papers we have counts for
12 papers
State Forecasting in an Estimation Framework with Surrogate Sensor Modeling
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Ishan Paranjape +3
In recent years, computational power and data availability breakthroughs have revolutionized our ability to analyze complex physical systems through the inverse problem approach. D…
Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation
Yorai Shaoul, Zhe Chen, Mohamed Naveed Gul Mohamed +3
Coordinating a team of robots to reposition multiple objects in cluttered environments requires reasoning jointly about where robots should establish contact, how to manipulate obj…
Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2
In recent years, the development of the Lunar Gateway and Artemis missions has renewed interest in lunar exploration, including both manned and unmanned missions. This interest nec…
Convexity in Optimal Control Problems
Abhijeet, Mohamed Naveed Gul Mohamed, Aayushman Sharma +1
This paper investigates the central role played by the Hamiltonian in continuous-time nonlinear optimal control problems. We show that the strict convexity of the Hamiltonian in th…
An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems
Mohamed Naveed Gul Mohamed, Abhijeet, Aayushman Sharma +2
This paper considers the infinite horizon optimal control problem for nonlinear systems. Under the condition of nonlinear controllability of the system to any terminal set containi…
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2
This paper discusses the predictive capability of Dynamic Mode Decomposition (DMD) in the context of orbital mechanics. The focus is specifically on the Hankel variant of DMD which…
An Information-State Based Approach to Linear Time Varying System Identification and Control
Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty +1
This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the stat…
An Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems
Raman Goyal, Ran Wang, Mohamed Naveed Gul Mohamed +2
This paper develops a data-based approach to the closed-loop output feedback control of nonlinear dynamical systems with a partial nonlinear observation model. We propose an inform…
On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems
Raman Goyal, Suman Chakravorty, Ran Wang +1
We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent ``Curse of Variance" in addition…
On the Feedback Law in Stochastic Optimal Nonlinear Control
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal +1
We consider the problem of nonlinear stochastic optimal control. This problem is thought to be fundamentally intractable owing to Bellman's "curse of dimensionality". We present a…
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty. This problem may be posed as a stochastic optimal control problem, complete solution to which is fundamentally intrac…
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty in this paper. This problem may be posed as a stochastic optimal control problem, a solution to which is fundamentally…