activity
20162026
most citedControlling rigid formations of mobile agents under inconsistent measurements

100 citations · 178 across the 31 of their papers we have counts for

collaborators

33 papers

eess.SY2026

Flatness-Based Geometric Path Following via Guiding Vector Fields

J. P. van Gool, H. G. de Marina, B. Jayawardhana +1

Path following requires an agent to converge to and traverse a geometric path without a prescribed timing law. Guiding vector fields (GVFs) address this directly, but as guidance l…

cs.RO2023

Resilient source seeking with robot swarms

Antonio Acuaviva, Jesus Bautista, Weijia Yao +2

We present a solution for locating the source, or maximum, of an unknown scalar field using a swarm of mobile robots. Unlike relying on the traditional gradient information, the sw…

cs.RO2022

Guiding vector fields for the distributed motion coordination of mobile robots

Weijia Yao, Hector Garcia de Marina, Zhiyong Sun +1

We propose coordinating guiding vector fields to achieve two tasks simultaneously with a team of robots: first, the guidance and navigation of multiple robots to possibly different…

cs.RO2022★ 12 cited

Energy-Aware Planning-Scheduling for Autonomous Aerial Robots

Adam Seewald, Héctor García de Marina, Henrik Skov Midtiby +1

In this paper, we present an online planning-scheduling approach for battery-powered autonomous aerial robots. The approach consists of simultaneously planning a coverage path and…

cs.RO2021★ 1 cited

Distributed formation control for manipulator end-effectors

Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina +1

We present three classes of distributed formation controllers for achieving and maintaining the 2D/3D formation shape of manipulator end-effectors to cope with different scenarios…

cs.RO2021★ 1 cited

Guiding vector fields in Paparazzi autopilot

Hector Garcia de Marina, Murat Bronz, Gautier Hattenberger

This article is a technical report on the two different guidance systems based on vector fields that can be found in Paparazzi, a free sw/hw autopilot. Guiding vector fields allow…

cs.RO2021★ 1 cited

Distributed coordinated path following using guiding vector fields

Weijia Yao, Hector Garcia de Marina, Zhiyong Sun +1

It is essential in many applications to impose a scalable coordinated motion control on a large group of mobile robots, which is efficient in tasks requiring repetitive execution,…

eess.SY2021

Leaderless collective motions in affine formation control

Hector Garcia de Marina, Juan Jimenez Castellanos, Weijia Yao

This paper proposes a novel distributed technique to induce collective motions in affine formation control. Instead of the traditional leader-follower strategy, we propose modifyin…

cs.RO2021

Distributed formation control of manipulators' end-effector with internal model-based disturbance rejection

Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina +1

This paper addresses the problem of end-effector formation control for manipulators that are subjected to external disturbances: input disturbance torques and disturbance forces at…

cs.RO2021

Securing Isosceles Triangular Formations under Heterogeneous Sensing and Mixed Constraints

Nelson P. K. Chan, Bayu Jayawardhana, Hector Garcia de Marina

This paper focuses on securing a triangular shape (up to translation) for a team of three mobile robots that uses heterogeneous sensing mechanism. Based on the available local info…

cs.RO2020

Singularity-free Guiding Vector Field for Robot Navigation

Weijia Yao, Hector Garcia de Marina, Bohuan Lin +1

Most of the existing path-following navigation algorithms cannot guarantee global convergence to desired paths or enable following self-intersected desired paths due to the existen…

eess.SY2020★ 1 cited

Stability Analysis of Gradient-Based Distributed Formation Control with Heterogeneous Sensing Mechanism: Two and Three Robot Case

Nelson P. K. Chan, Bayu Jayawardhana, Hector Garcia de Marina

This paper focuses on the stability analysis of a formation shape displayed by a team of mobile robots that uses heterogeneous sensing mechanism. Depending on the convenience and r…

eess.SY2020

Forced Variational Integrators for the Formation Control of Multi-Agent Systems

Leonardo Colombo, Hector Garcia de Marina

Formation control of autonomous agents can be seen as a physical system of individuals interacting with local potentials, and whose evolution can be described by a Lagrangian funct…

eess.SY2020

Forced variational integrator for distance-based shape control with flocking behavior of multi-agent systems

Leonardo Colombo, Patricio Moreno, Mengbin Ye +2

A multi-agent system designed to achieve distance-based shape control with flocking behavior can be seen as a mechanical system described by a Lagrangian function and subject to ad…

eess.SY2020★ 6 cited

Distributed formation maneuver control by manipulating the complex Laplacian

Hector Garcia de Marina

This paper proposes a novel maneuvering technique for the complex-Laplacian-based formation control. We show how to modify the original weights that build the Laplacian such that a…

eess.SY2020

Maneuvering and robustness issues in undirected displacement-consensus-based formation control

Hector Garcia de Marina

In this paper, we first propose a novel maneuvering technique compatible with displacement-consensus-based formation controllers. We show that the formation can be translated with…

eess.SY2020★ 35 cited

Angle-Constrained Formation Control for Circular Mobile Robots

Nelson P. K. Chan, Bayu Jayawardhana, Hector Garcia de Marina

In this letter, we investigate the formation control problem of mobile robots moving in the plane where, instead of assuming robots to be simple points, each robot is assumed to ha…

eess.SY2020

Vector Field Guided Path Following Control: Singularity Elimination and Global Convergence

Weijia Yao, Hector Garcia de Marina, Ming Cao

Vector field guided path following (VF-PF) algorithms are fundamental in robot navigation tasks, but may not deliver the desirable performance when robots encounter singular points…

eess.SY2019

On the observability of relative positions in left-invariant multi-agent control systems and its application to formation control

Leonardo Colombo, Hector Garcia de Marina, María Barbero Liñán +1

We consider the localization problem between agents while they run a formation control algorithm. These algorithms typically demand from the agents the information about their rela…

cs.RO2019

Flexible collaborative transportation by a team of rotorcraft

Hector Garcia de Marina, Ewoud Smeur

We propose a combined method for the collaborative transportation of a suspended payload by a team of rotorcraft. A recent distance-based formation-motion control algorithm based o…

eess.SY2018★ 2 cited

Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds

Zhiyong Sun, Hector Garcia de Marina, Brian D. O. Anderson +1

This paper considers a collaborative tracking control problem using a group of fixed-wing unmanned aerial vehicles (UAVs) with constant and non-identical speeds. The dynamics of fi…

cs.RO2018

Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation

Hector Garcia de Marina, Johan Siemonsma, Bayu Jayawardhana +1

In this paper, we present the design and implementation of a robust motion formation distributed control algorithm for a team of mobile robots. The primary task for the team is to…

eess.SY2018

On the stability and applications of distance-based flexible formations

Hector Garcia de Marina, Zhiyong Sun, Shaoshuai Mou

This paper investigates the stability of distance-based \textit{flexible} undirected formations in the plane. Without rigidity, there exists a set of connected shapes for given dis…

eess.SY2018★ 10 cited

Quantization effects and convergence properties of rigid formation control systems with quantized distance measurements

Zhiyong Sun, Hector Garcia de Marina, Brian D. O. Anderson +1

In this paper, we discuss quantization effects in rigid formation control systems when target formations are described by inter-agent distances. Because of practical sensing and me…