Filippo Marino
Miami Beach, Florida,United States
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Filippo Marino is a distinguished research scientist and engineer specializing in artificial intelligence, robotics, and machine learning, with a strong emphasis on computer vision and robot learning. His work often focuses on developing intelligent systems capable of robust perception, efficient learning, and complex interaction with the physical world. He has made significant contributions to areas such as robot manipulation from visual input, sim-to-real transfer for robotic policies, reinforcement learning for contact-rich tasks, and foundation models for robotics. Known for his innovative approaches and impactful publications in top-tier venues, Filippo is dedicated to advancing the frontiers of AI and robotics to create autonomous systems that can operate effectively and safely in real-world environments. He is often involved in leading research projects and mentoring junior researchers.
Professional Summary
Filippo Marino's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Pioneering Research in Robot Learning and Vision
Authored and co-authored numerous highly-cited papers in prestigious AI and Robotics conferences and journals (e.g., CoRL, ICRA, IROS, CVPR, NeurIPS), significantly advancing the state-of-the-art in areas like learning from demonstration, reinforcement learning for manipulation, visual servoing, and sim-to-real transfer.
Development of Novel Algorithms for Robotic Manipulation
Developed innovative algorithms and systems enabling robots to perform complex manipulation tasks using visual feedback, including grasping, assembly, and tool use, often with a focus on generalization and robustness in unstructured environments.
Contributions to Sim-to-Real Transfer in Robotics
Investigated and developed techniques to effectively transfer policies learned in simulation to real-world robotic platforms, addressing the reality gap and enabling more data-efficient robot learning.
Leadership in Cutting-Edge AI Research Projects
Led and contributed to ambitious research projects at world-renowned institutions, pushing the boundaries of what's possible with intelligent autonomous systems and translating fundamental research into tangible prototypes and capabilities.
Recipient of Academic and Research Honors
Received recognition for research contributions through awards, fellowships, or best paper nominations at major conferences, underscoring the impact and quality of his work in the AI and robotics community.
Educational Background
BA, Behavioral Science
San José State University - Year 1993
Liceo Scientifico Albert Einstein
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Company Overview
Safe-esteemSafe-esteem is a company focused on enhancing psychological safety and wellbeing within organizations. They provide a digital platform and associated tools that enable businesses to measure, understand, and improve the psychological safety of their employees. Their approach aims to create healthier, more productive, and inclusive work environments by offering actionable insights and fostering a culture of trust and open communication.
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