Luiz Giacomossi Jr.

Luiz Giacomossi Jr.
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Luiz verified their affiliation via an institutional email.
Verified
Luiz verified their affiliation via an institutional email.
  • Master of Science
  • PhD Student at Mälardalen University

About

12
Publications
3,539
Reads
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48
Citations
Introduction
Luiz Giacomossi Jr., PhD student (MDU, Sweden), specializes in embedded systems, Flying Robotics, AI & autonomous UAVs. He holds an MSc (ITA), a Postgraduate degree (UCA) and BSc. Experienced in embedded software (Volvo: ECU for diesel engines) & AI (Embraer: drone simulators, UAV swarms). Expertise: MATLAB/Simulink, ROS 2, C/C++, Python.. Research: aerial robotics, real-time systems, cooperative decision making.
Current institution
Mälardalen University
Current position
  • PhD Student
Additional affiliations
AB Volvo
Position
  • Embedded Software Engineer
January 2021 - present
Aeronautics Institute of Technology
Position
  • Researcher
February 2012 - April 2016
Federal University of Technology of Paraná
Position
  • Control and Automation Engineering
Education
January 2025
Mälardalen University
Field of study
  • Computer Science
February 2021 - March 2023
Aeronautics Institute of Technology
Field of study
  • Computer Engineering
January 2019 - December 2020
Pontifical Catholic University of Argentina
Field of study
  • Sofware Engineering

Publications

Publications (12)
Chapter
Full-text available
Unmanned Aerial Vehicle (UAV) swarms, also known as drone swarms, have been a subject of extensive research due to their potential to enhance monitoring, surveillance, and search missions. Coordinating several drones flying simultaneously presents a challenge in increasing their level of automation and intelligence to improve strategic organization...
Conference Paper
Full-text available
Unmanned Aerial Vehicles (UAVs) are being researched for their potential in applications like search and rescue, and defense missions. The goal is to enhance the intelligence, communication, and strategic organization. Decision-making techniques enable intelligent UAV decisions, freeing human commanders to focus on higher-level decisions. This rese...
Preprint
Full-text available
Unmanned Aerial Vehicle (UAV) swarms, also known as drone swarms, have been a subject of extensive research due to their potential to enhance monitoring, surveillance, and search missions. Coordinating several drones flying simultaneously presents a challenge in increasing their level of automation and intelligence to improve strategic organization...
Article
Full-text available
The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g ., a swarm of drones, with combat and communi...
Conference Paper
Full-text available
The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g., a swarm of drones, with combat and communicat...
Preprint
Full-text available
The ability of multiple manned and unmanned aircraft systems to cooperatively engage and disable an aerial threat plays a decisive role in modern warfare scenarios. In this paper, we apply key methods to enable the so-called cooperative threat engagement capability among multiple networked agents, e.g., a swarm of drones, with combat and communicat...
Conference Paper
Full-text available
With the application of decision-making techniques,it is possible to automate many of the intelligent decisionsof UAVs, leaving human commanders to focus on higher-leveldecisions in modern warfare scenarios, providing a crucialtactical advantage. This paper applies key methods to enabledecentralized decision-making for autonomous combat UAVs,also k...
Conference Paper
Full-text available
Resumo − A crescente aplicação de drones possibilitou o advento de novas soluções para os desafios do mundo moderno e expôs a necessidade de maior atenção a questões relacionadas à segurança e privacidade. Nesse contexto, a identificação de drones invasores representa uma solução urgente em meio ao aumento dos riscos decorrentes da popularização de...

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