October 19 to 25, 2025 in Hangzhou, China
Workshop on Self-Adaptive Robotics: Ensuring Safety and Trustworthiness in Dynamic Environments

Robotics systems are increasingly required to operate autonomously in dynamic and uncertain environments. Ensuring that such systems remain robust, safe, and trustworthy while adapting to unforeseen changes is a major challenge. This workshop will explore cutting-edge approaches for self-adaptive robotics, focusing on safety, robustness, runtime monitoring and verification, deep learning for adaptation, and formal verification methods.

Key themes include self-adaptation strategies for robotic control, runtime verification techniques for safety assurance, deep learning-based adaptation mechanisms, and formal verification frameworks to establish trustworthiness in autonomous systems. The workshop will bring together experts from academia and industry to discuss recent advances, challenges, and future directions in this domain.

Attendees will gain insights into methodologies for integrating learning-enabled adaptation with verification mechanisms, ensuring reliable operation under uncertain conditions. The workshop will encourage discussions and collaborations toward bridging the gap between learning-based and formally verified robotic systems.