
Luiz Giacomossi Jr.- Master of Science
- PhD Student at Mälardalen University
Luiz Giacomossi Jr.
- Master of Science
- PhD Student at Mälardalen University
About
12
Publications
3,539
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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
Additional affiliations
January 2021 - present
February 2012 - April 2016
Education
January 2025
February 2021 - March 2023
January 2019 - December 2020
Publications
Publications (12)
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...
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...
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...
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...
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...
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...
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...
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...