The PIE‑AI Summer School focuses on how intelligent systems perceive, reason, and act through physical interaction with the world. With rapid advances in multimodal AI, human–robot interaction, language grounding, and world modeling, embodied AI is becoming increasingly central to robotics, assistive technologies, and interactive digital systems.
This summer school bridges the gap between abstract AI models and real‑world physical behavior by combining theoretical foundations with hands‑on experimentation. Participants will gain insight into a rapidly evolving research area that is shaping the future of collaboration between humans and intelligent machines.
Program design
The PIE‑AI Summer School uses a blended learning format, beginning with online self‑study modules and continuing with an intensive in‑person week at Örebro University.
- Online Modules: Introductory content on ROS, sensing & perception, XR, and large language models, with quizzes and optional topic choices.
- In‑Person Week (17th-21th aug): Lectures, keynotes, labs, discussions, and social activities.
- Core Themes: Embodiment theory, language grounding & multimodality, human‑robot interaction, and spatial cognition.
- Group Project: Interdisciplinary, hands‑on assignment with mentoring from instructors.
- Facilities: Access to robotic platforms and testing environments at the Center for AI, Robotics, and Cybersecurity.