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20152018
most citedFeedback Motion Planning Under Non-Gaussian Uncertainty and Non-Convex State Constraints

16 citations · 48 across the 11 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.OC2017

A Separation-based Approach to Data-based Control for Large-Scale Partially Observed Systems

Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty

This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by partial differential equations (PDEs) that leads to an extr…

eess.SY2017

A Separation-Based Design to Data-Driven Control for Large-Scale Partially Observed Systems

Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty

This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by Partial Differential Equations (PDEs) that leads to an extr…

eess.SY2017★ 1 cited

Stochastic Feedback Control of Systems with Unknown Nonlinear Dynamics

Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty

This paper studies the stochastic optimal control problem for systems with unknown dynamics. First, an open-loop deterministic trajectory optimization problem is solved without kno…

cs.RO2017★ 5 cited

A Near-Optimal Separation Principle for Nonlinear Stochastic Systems Arising in Robotic Path Planning and Control

Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar

We consider nonlinear stochastic systems that arise in path planning and control of mobile robots. As is typical of almost all nonlinear stochastic systems, the optimally solving p…

cs.RO2017★ 2 cited

Near-Optimal Belief Space Planning via T-LQG

Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar

We consider the problem of planning under observation and motion uncertainty for nonlinear robotics systems. Determining the optimal solution to this problem, generally formulated…