This paper aims to propose a solution to the feasible-trajectory planning problem for a tracked mobile robot subject to non-negligible skidding and slipping effects and whose control system, sensors and actuators are connected through a communication network. A trajectory is defined in terms of succession of linear segments with a prescribed crossing velocity and the trajectory feasibility is guaranteed in terms of sufficient conditions by recurring to set-based arguments formulated in terms of solution of semi-definite programming minimization problems (SDP) involving linear matrix inequalities (LMI) constraints. In order to show the effectiveness of proposed solution a campaign of numerical and experimental simulations involving the mobile robot V4 Jaguar by Dr.Robot is carried out.

A Set-Based Trajectory Planning Algorithm for a Network Controlled Skid-Steered Tracked Mobile Robot Subject to Skid and Slip Phenomena

Scordamaglia V.;Nardi V. A.
2021-01-01

Abstract

This paper aims to propose a solution to the feasible-trajectory planning problem for a tracked mobile robot subject to non-negligible skidding and slipping effects and whose control system, sensors and actuators are connected through a communication network. A trajectory is defined in terms of succession of linear segments with a prescribed crossing velocity and the trajectory feasibility is guaranteed in terms of sufficient conditions by recurring to set-based arguments formulated in terms of solution of semi-definite programming minimization problems (SDP) involving linear matrix inequalities (LMI) constraints. In order to show the effectiveness of proposed solution a campaign of numerical and experimental simulations involving the mobile robot V4 Jaguar by Dr.Robot is carried out.
2021
Network controlled robot
Networked control systems
Optimal feasible trajectory planning
Robust invariant-set motion planning
Skid-steered robot
Tracked mobile robot
File in questo prodotto:
File Dimensione Formato  
Scordamaglia-Nardi2020_Article_ASet-BasedTrajectoryPlanningAl-2.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 9.8 MB
Formato Adobe PDF
9.8 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/80335
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 4
social impact