4 citations · 7 across the 9 of their papers we have counts for
9 papers
Communication-Aware Map Compression for Online Path-Planning
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
This paper addresses the problem of the communication of optimally compressed information for mobile robot path-planning. In this context, mobile robots compress their current loca…
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning
Dongliang Zheng, Panagiotis Tsiotras
In this work, we introduce a new graph search algorithm, lazy edged based A* (LEA*), for robot motion planning. By using an edge queue and exploiting the idea of lazy search, LEA*…
Data-Driven Covariance Steering Control Design
Joshua Pilipovsky, Panagiotis Tsiotras
This paper studies the problem of steering the distribution of a linear time-invariant system from an initial normal distribution to a terminal normal distribution under no knowled…
Covariance Steering for Systems Subject to Unknown Parameters
Jacob Knaup, Panagiotis Tsiotras
This work considers the optimal covariance steering problem for systems subject to both additive noise and uncertain parameters which may enter multiplicatively with the state and…
Discrete-time Optimal Covariance Steering via Semidefinite Programming
George Rapakoulias, Panagiotis Tsiotras
This paper addresses the optimal covariance steering problem for stochastic discrete-time linear systems subject to probabilistic state and control constraints. A method is present…
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems
Fengjiao Liu, George Rapakoulias, Panagiotis Tsiotras
In this paper, we study the optimal control problem for steering the state covariance of a discrete-time linear stochastic system over a finite time horizon. First, we establish th…
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Multiplicative Noise
Fengjiao Liu, Panagiotis Tsiotras
In this paper we study the finite-horizon optimal covariance steering problem for a continuous-time linear stochastic system subject to both additive and multiplicative noise. The…
Accelerating Kinodynamic RRT* Through Dimensionality Reduction
Dongliang Zheng, Panagiotis Tsiotras
Sampling-based motion planning algorithms such as RRT* are well-known for their ability to quickly find an initial solution and then converge to the optimal solution asymptotically…
Value Function Estimators for Feynman-Kac Forward-Backward SDEs in Stochastic Optimal Control
Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras
Two novel numerical estimators are proposed for solving forward-backward stochastic differential equations (FBSDEs) appearing in the Feynman-Kac representation of the value functio…