Tesi etd-11012024-103429 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
VOLLARO, SIMONE
URN
etd-11012024-103429
Titolo
Swarm dePloyment in Autonomous Robot TeleoperAtioNs for Load-Intensive Flight and Transport
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Pallottino, Lucia
Parole chiave
- collaborative
- coordinated
- fleet
- heterogeneous
- mas
- payload
- rendezvous
- smms
- teleoperated
- teleoperation
- uav
Data inizio appello
03/12/2024
Consultabilità
Completa
Riassunto
This thesis addresses the design and implementation of a single-master multi-slave (SMMS) au-
tonomous system, focusing on a fleet of heterogeneous unmanned aerial vehicles (UAVs) tasked
with transporting a payload in response to human teleoperation input.
Centralized interaction with the external environment is managed by a designated leader UAV,
which handles communication with the operator and coordinates each phase of the task, from
synchronization to formation control.
The fleet employs consensus-based algorithms to converge at the payload’s location and maintain
a formation during its transport through the environment. Additionally, a collision-avoidance
mechanism based on artificial potential fields ensures safe maneuvering.
The flexibility of the developed framework, along with its scalable design, allows for seam-
less adaptation to a wide variety of applications, both in terms of task complexity and system
configuration.
tonomous system, focusing on a fleet of heterogeneous unmanned aerial vehicles (UAVs) tasked
with transporting a payload in response to human teleoperation input.
Centralized interaction with the external environment is managed by a designated leader UAV,
which handles communication with the operator and coordinates each phase of the task, from
synchronization to formation control.
The fleet employs consensus-based algorithms to converge at the payload’s location and maintain
a formation during its transport through the environment. Additionally, a collision-avoidance
mechanism based on artificial potential fields ensures safe maneuvering.
The flexibility of the developed framework, along with its scalable design, allows for seam-
less adaptation to a wide variety of applications, both in terms of task complexity and system
configuration.
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