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Janosch Lenzi is a highly accomplished Research Scientist with a strong background in robotics, machine learning, and artificial intelligence. He earned his PhD from ETH Zurich, where his research focused on legged locomotion and reinforcement learning for robotic systems. Following his doctoral studies, he joined Google, contributing to cutting-edge research in AI and robotics, particularly in areas like robot learning, large-scale AI models for robotics, and developing general-purpose intelligent agents. His work aims to push the boundaries of what robots can learn and achieve in complex, real-world environments.
Janosch Lenzi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Completed a PhD at ETH Zurich, a globally renowned institution for science and technology, with a dissertation focused on learning-based control for agile and robust legged robots.
Contributed significantly to Google's AI and robotics research, working on projects to enhance robot capabilities through machine learning, including manipulation, navigation, and interaction with dynamic environments. His work often involved projects like an 'everyday robot'.
Authored and co-authored numerous peer-reviewed papers in prestigious AI and robotics conferences and journals (e.g., CoRL, RSS, ICRA), advancing knowledge in reinforcement learning, robot control, and embodied AI.
Pioneered and applied novel reinforcement learning and imitation learning algorithms to enable robots to acquire complex skills, improve their adaptability, and operate more autonomously in challenging scenarios.
University of Bologna - Year 1992
Scientific High School - G.B. Morgagni - Florence - Year 1986
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