activity
20062025
most citedSome Results on an Affine Obstruction to Reach Control

4 citations · 12 across the 10 of their papers we have counts for

collaborators

11 papers

eess.SY2025★ 1 cited

On Regular Regressors in Adaptive Control

Erick Mejia Uzeda, Mireille E. Broucke

This paper addresses a shortcoming in adaptive control, that the property of a regressor being persistently exciting (PE) is not well-behaved. One can construct regressors that upe…

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…

q-bio.NC2019★ 1 cited

Adaptive Internal Models: Explaining the Oculomotor System and the Cerebellum

Mireille E. Broucke

We propose a new model of the oculomotor system, particularly the vestibulo-ocular reflex, gaze fixation, and smooth pursuit. Our key insight is to exploit recent developments on a…

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…