activity
20162019
most citedOnline Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning

264 citations · 267 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2019★ 264 cited

Online Trajectory Generation with Distributed Model Predictive Control for Multi-Robot Motion Planning

Carlos E. Luis, Marijan Vukosavljev, Angela P. Schoellig

We present a distributed model predictive control (DMPC) algorithm to generate trajectories in real-time for multiple robots. We adopted the \textit{on-demand collision avoidance}…

math.OC2019

The regular indefinite linear quadratic optimal control problem: stabilizable case

Marijan Vukosavljev, Angela P. Schoellig, Mireille E. Broucke

This paper addresses an open problem in the area of linear quadratic optimal control. We consider the regular, infinite-horizon, stability-modulo-a-subspace, indefinite linear quad…

cs.RO2019★ 2 cited

Hierarchically Consistent Motion Primitives for Quadrotor Coordination

Marijan Vukosavljev, Angela P. Schoellig, Mireille E. Broucke

We present a hierarchical framework for motion planning of a large collection of agents. The proposed framework starts from low level motion primitives over a gridded workspace and…

cs.RO2019

A Modular Framework for Motion Planning using Safe-by-Design Motion Primitives

Marijan Vukosavljev, Zachary Kroeze, Angela P. Schoellig +1

We present a modular framework for solving a motion planning problem among a group of robots. The proposed framework utilizes a finite set of low level motion primitives to generat…

cs.RO2018★ 1 cited

Fast and In Sync: Periodic Swarm Patterns for Quadrotors

Xintong Du, Carlos E. Luis, Marijan Vukosavljev +1

This paper aims to design quadrotor swarm performances, where the swarm acts as an integrated, coordinated unit embodying moving and deforming objects. We divide the task of creati…

eess.SY2017

A Framework for Multi-Vehicle Navigation Using Feedback-Based Motion Primitives

Marijan Vukosavljev, Zachary Kroeze, Mireille E. Broucke +1

We present a hybrid control framework for solving a motion planning problem among a collection of heterogenous agents. The proposed approach utilizes a finite set of low-level moti…

cs.RO2016

Safe and Robust Robot Maneuvers Based on Reach Control

Marijan Vukosavljev, Ivo Jansen, Mireille E. Broucke +1

In this paper, we investigate the synthesis of piecewise affine feedback controllers to address the problem of safe and robust controller design in robotics based on high-level con…