most citedWorkspace Partitioning and Topology Discovery Algorithms for Heterogeneous Multi-Agent Networks

8 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

math.OC2020

Covariance Steering of Discrete-Time Stochastic Linear Systems Based on Distribution Distance Terminal Costs

Isin M. Balci, Efstathios Bakolas

We consider a class of stochastic optimal control problems for discrete-time stochastic linear systems which seek for control policies that will steer the probability distribution…

eess.SY2020

Far-Field Minimum-Fuel Spacecraft Rendezvous using Koopman Operator and Optimization

Vrushabh Zinage, Efstathios Bakolas

We propose a method to compute approximate solutions to the minimum-fuel far-field rendezvous problem for thrust-vectoring spacecraft. It is well-known that the use of linearized s…

cs.RO2020

MPC-Based Hierarchical Task Space Control of Underactuated and Constrained Robots for Execution of Multiple Tasks

Jaemin Lee, Seung Hyeon Bang, Efstathios Bakolas +1

This paper proposes an MPC-based controller to efficiently execute multiple hierarchical tasks for underactuated and constrained robotic systems. Existing task-space controllers or…

eess.SY20208 cited

Workspace Partitioning and Topology Discovery Algorithms for Heterogeneous Multi-Agent Networks

Efstathios Bakolas

In this paper, we consider a class of workspace partitioning problems that arise in the context of area coverage and spatial load balancing for spatially distributed heterogeneous…

eess.SY2020

Min-Max Q-Learning for Multi-Player Pursuit-Evasion Games

Jhanani Selvakumar, Efstathios Bakolas

In this paper, we address a pursuit-evasion game involving multiple players by utilizing tools and techniques from reinforcement learning and matrix game theory. In particular, we…

math.OC2020

Greedy Finite-Horizon Covariance Steering for Discrete-Time Stochastic Nonlinear Systems Based on the Unscented Transform

Efstathios Bakolas, Alexandros Tsolovikos

In this work, we consider the problem of steering the first two moments of the uncertain state of a discrete time nonlinear stochastic system to prescribed goal quantities at a giv…