Machine Scene Understanding – Limitations and Opportunities @CYBATHLONETH
Machine Scene Understanding – Limitations and Opportunities  @CYBATHLONETH
Uploaded October 2023 | Updated September 2026, 3 weeks ago
Machine learning, computer vision, and artificial intelligence are on everyone’s lips today. These methods are also promising for application in the field of assistive technologies. In this lecture, Dr. Cesar Cadena, Senior Scientist, Robotic Systems Lab (@leggedrobotics) at ETH Zurich @ethzurich provides invaluable insights into the nuanced challenges that arise in the pursuit of enabling machines to solve our ever-changing environment. Cesar Cadena delves into machine limitations while uncovering opportunities as we bridge human cognition and artificial intelligence.
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CYBATHLON, a not-for-profit project of ETH Zurich, is a platform that challenges teams from all over the world to develop assistive technologies suitable for everyday use with and for people with disabilities. Through international competitions and other events, CYBATHLON cultivates and fosters a dialogue between technology developers, people with disabilities and the public for greater inclusion of people with disabilities in society.
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Machine Scene Understanding – Limitations and Opportunities

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