This workshop explores the reliability and trustworthiness of embodied AI systems in real-world deployments across a variety of everyday scenarios. It brings together tools and methodologies from fields such as computer vision, machine learning, planning, control, and formal methods, all aimed at improving AI robustness and dependability. The workshop will also highlight current challenges, identifying tasks where robots still struggle to perform consistently, with the goal of advancing AI and robotic systems toward greater versatility and trustworthiness.
The scope includes a broad spectrum of embodied AI applications, ranging from aerial and ground vehicles to legged robots and beyond. So far, the workshop features 11 speakers representing a range of fields related to the workshop’s central theme. These speakers bring diverse expertise and backgrounds, contributing valuable perspectives to the discussion.
