provide students with basic skills in the design, development and implementation of simple algorithms for cooperation and consensus of multiple agents with a special focus on robotic swarm competitions. Swarm intelligence and control algorithms have applications in many scientific fields, including, environmental, bioengineering, civil, data science, computer and information science, electrotechnics, physics, mechanics, nanotechnology and chemistry; what makes this topic cross-cutting.
prepare students for the robotics swarm competition, promoting the development of complementary skills (soft skills), namely: teamwork, cooperation, peer communication, time management, resource management, stress management.
provide students with basic skills in the design, development and implementation of simple algorithms for cooperation and consensus of multiple agents with a special focus on robotic swarm competitions. Swarm intelligence and control algorithms have applications in many scientific fields, including, environmental, bioengineering, civil, data science, computer and information science, electrotechnics, physics, mechanics, nanotechnology and chemistry; what makes this topic cross-cutting.
prepare students for the robotics swarm competition, promoting the development of complementary skills (soft skills), namely: teamwork, cooperation, peer communication, time management, resource management, stress management.