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Failure Is Not the End: Towards Open-World Failure Recovery for Robots

Failure Is Not the End: Towards Open-World Failure Recovery for Robots

In conjunction with
Robotics: Science and Systems 2026
July 13-17, 2026
University of Technology Sydney
Sydney, Australia

Robotics Autonomous Systems Machine Learning AI

Addresses how robots can detect, diagnose, and recover from failures when operating in open-world environments with unpredictable conditions. Explores methods for failure anticipation, robust replanning, and adaptive recovery strategies that allow robots to continue operating effectively after unexpected events.

  For more information, visit the workshop website

More workshops at Robotics: Science and Systems 2026