This paper presents a new robust path planning and execution methodology for constrained linear systems, using reachable sequences of sets denoted funnels. Constraint tightening is used to guarantee the existence of a combined feedforward and affine disturbance-feedback policy to guide the system trajectory from anywhere within a set of initial states to a target set, through a sequence of intermediate sets forming the cross-section of the funnel. It is shown how the sets can be placed to guarantee robust obstacle avoidance for a known bounded disturbance. Numerical simulations are used to demonstrate the approach on a simple unmanned aerial vehicle model
This paper presents a solution to the problem of generating constrained robust trajectory planning f...
The guidance of a reusable launcher is a control problem that requires both precision and robustness...
This thesis investigates the coordination and control of fleets of unmanned aerial vehicles (UAVs). ...
This paper introduces a new formulation of model predictive control for robust trajectory guidance o...
© 2015 Dr. Rina ShvartsmanIn applications such as non-holonomic navigation, underactuated robot loco...
A novel kinodynamic planning framework, which covers path panning, smoothing, tracking and emergency...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
In this paper, we present an onboard robust nonlinear control approach for quadrotor Unmanned Aerial...
In this thesis we consider the problem of generating motion plans for a nonlinear dynamical system t...
This thesis is concerned with trajectory generation for robots in dynamic environments with relative...
The problem of generating smooth paths in a bounded airspace having arbitrarily shaped flight-restri...
Path planning for an autonomous vehicle in a dynamic environment is a challenging problem particular...
Autonomous vehicles require the ability to safely operate under both external environment constraint...
In this paper we provide a new strategy to explore feasible trajectories of nonlinear systems, that ...
We present a framework for online generation of robust motion plans for robotic systems with nonline...
This paper presents a solution to the problem of generating constrained robust trajectory planning f...
The guidance of a reusable launcher is a control problem that requires both precision and robustness...
This thesis investigates the coordination and control of fleets of unmanned aerial vehicles (UAVs). ...
This paper introduces a new formulation of model predictive control for robust trajectory guidance o...
© 2015 Dr. Rina ShvartsmanIn applications such as non-holonomic navigation, underactuated robot loco...
A novel kinodynamic planning framework, which covers path panning, smoothing, tracking and emergency...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
In this paper, we present an onboard robust nonlinear control approach for quadrotor Unmanned Aerial...
In this thesis we consider the problem of generating motion plans for a nonlinear dynamical system t...
This thesis is concerned with trajectory generation for robots in dynamic environments with relative...
The problem of generating smooth paths in a bounded airspace having arbitrarily shaped flight-restri...
Path planning for an autonomous vehicle in a dynamic environment is a challenging problem particular...
Autonomous vehicles require the ability to safely operate under both external environment constraint...
In this paper we provide a new strategy to explore feasible trajectories of nonlinear systems, that ...
We present a framework for online generation of robust motion plans for robotic systems with nonline...
This paper presents a solution to the problem of generating constrained robust trajectory planning f...
The guidance of a reusable launcher is a control problem that requires both precision and robustness...
This thesis investigates the coordination and control of fleets of unmanned aerial vehicles (UAVs). ...