Greetings, I am Mario Avolio, an accomplished Computer Vision & Artificial Intelligence Engineer. With a distinguished Bachelor's Degree in Computer Science from the University of Calabria, Italy, and an advanced Master's Degree from the University of Milano Bicocca, my expertise encompasses the intricate realms of Deep Learning, Machine Learning, and Computer & Robot Vision. My technical arsenal includes PyTorch, Python, Keras, TensorFlow, and OpenCV, enabling me to engineer sophisticated intelligent systems. Beyond this, I possess a strong and diversified foundation in both Data Science and Software Engineering. This dual proficiency equips me to extract nuanced insights from complex datasets and architect reliable, scalable software solutions. My commitment to innovation is paralleled by my unwavering dedication to professional excellence. Thriving within dynamic and demanding environments, I consistently bridge the chasm between theoretical concepts and pragmatic implementations. Should you be seeking to forge partnerships within the domains of AI, Computer Vision, or the intricate intersection of Data Science and Software Engineering, I wholeheartedly invite you to establish a connection. Together, let us embark on a journey underpinned by innovation, meticulous craftsmanship, and the transformative potential of technology.
Yours sincerely, Mario AvolioView CV
Introducing BrainyBot: an innovative undertaking by the DeMaCS department at the esteemed University of Calabria, merging the realms of robotics and AI. BrainyBot represents a state-of-the-art delta robot optimized for excelling in match-3 games and ball-sorting puzzles on mobile devices. Its meticulously designed delta structure seamlessly combines precision and agility, while its cutting-edge vision module adeptly discerns colors and shapes. The strategic decision-making prowess of the robot, fueled by declarative game models, is a testament to its adaptability and sophistication. BrainyBot's integration encompasses a spectrum of AI methodologies, ranging from intricate vision processing to the strategic nuances of answer set programming. Effortlessly interacting with devices, BrainyBot's influence extends through its meticulously crafted reusable infrastructure. This harmonious synergy of technology and inventive prowess not only reshapes the landscape of human-robot interaction but also augments the trajectory of advancements in robotics and AI.
The culmination of this project is encapsulated within the scholarly paper titled "From Vision to Execution: Enabling Knowledge Representation and Reasoning in Hybrid Intelligent Robots Playing Mobile Games," which was prominently featured at the esteemed 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023).
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