36 citations · 82 across the 13 of their papers we have counts for
13 papers
Barrier-Riccati Synthesis for Nonlinear Safe Control with Expanded Region of Attraction
Hassan Almubarak, Maitham F. AL-Sunni, Justin T. Dubbin +3
We present a Riccati-based framework for safety-critical nonlinear control that integrates the barrier states (BaS) methodology with the State-Dependent Riccati Equation (SDRE) app…
Barrier States Theory for Safety-Critical Multi-Objective Control
Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou
Multi-objective safety-critical control entails a diligent design to avoid possibly conflicting scenarios and ensure safety. This paper addresses multi-objective safety-critical co…
Differentiable Robust Model Predictive Control
Alex Oshin, Hassan Almubarak, Evangelos A. Theodorou
Deterministic model predictive control (MPC), while powerful, is often insufficient for effectively controlling autonomous systems in the real-world. Factors such as environmental…
Safe Importance Sampling in Model Predictive Path Integral Control
Manan Gandhi, Hassan Almubarak, Evangelos Theodorou
We introduce the notion of importance sampling under embedded barrier state control, titled Safety Controlled Model Predictive Path Integral Control (SC-MPPI). For robotic systems…
Improved Exploration for Safety-Embedded Differential Dynamic Programming Using Tolerant Barrier States
Joshua E. Kuperman, Hassan Almubarak, Augustinos D. Saravanos +1
In this paper, we introduce Tolerant Discrete Barrier States (T-DBaS), a novel safety-embedding technique for trajectory optimization with enhanced exploratory capabilities. The pr…
Gaussian Process Barrier States for Safe Trajectory Optimization and Control
Hassan Almubarak, Manan Gandhi, Yuichiro Aoyama +2
This paper proposes embedded Gaussian Process Barrier States (GP-BaS), a methodology to safely control unmodeled dynamics of nonlinear system using Bayesian learning. Gaussian Proc…
Sampling-Based Optimization for Multi-Agent Model Predictive Control
Ziyi Wang, Augustinos D. Saravanos, Hassan Almubarak +2
We systematically review the Variational Optimization, Variational Inference and Stochastic Search perspectives on sampling-based dynamic optimization and discuss their connections…
Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI
Manan Gandhi, Hassan Almubarak, Yuichiro Aoyama +1
This work explores the nature of augmented importance sampling in safety-constrained model predictive control problems. When operating in a constrained environment, sampling based…
Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization
Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh
Considering uncertainties and disturbances is an important, yet challenging, step in successful decision making. The problem becomes more challenging in safety-constrained environm…
HJB Based Optimal Safe Control Using Control Barrier Functions
Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh
This work proposes an optimal safe controller minimizing an infinite horizon cost functional subject to control barrier functions (CBFs) safety conditions. The constrained optimal…
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States
Hassan Almubarak, Kyle Stachowicz, Nader Sadegh +1
Certified safe control is a growing challenge in robotics, especially when performance and safety objectives must be concurrently achieved. In this work, we extend the barrier stat…
Safety Embedded Control of Nonlinear Systems via Barrier States
Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou
In many safety-critical control systems, possibly opposing safety restrictions and control performance objectives arise. To confront such a conflict, this letter proposes a novel m…
Recursive Analytic Solution of Nonlinear Optimal Regulators
Nader Sadegh, Hassan Almubarak
The paper develops an optimal regulator for a general class of multi-input affine nonlinear systems minimizing a nonlinear cost functional with infinite horizon. The cost functiona…