Welcome to the Physical AI System Software (PASS) Laboratory, Department of AI Robotics, Hankuk University of Foreign Studies, Korea.
We build the system software that sits between a learned model and a machine that has to move: partitioning models across on-device accelerators, guaranteeing timing for workloads of mixed criticality, and orchestrating both with cloud-native infrastructure. See Research for the three axes we work on.
News
- March 2027 — The department is renamed the Department of AI and Robotics Engineering, and the laboratory becomes PASS Lab.
- June 2026 — MCKube: a holistic mixed-criticality orchestration system in Kubernetes appears in the Journal of Systems Architecture. doi:10.1016/j.sysarc.2026.103904
- January 2026 — A Protocol-Agnostic and Automated Approach to Bi-directional Inter-Domain Communication in Software-Defined Vehicles appears in the International Journal of Automotive Technology. doi:10.1007/s12239-025-00375-w
- May 2025 — DNNPipe: Dynamic programming-based optimal DNN partitioning for pipelined inference on IoT networks appears in the Journal of Systems Architecture, open access. doi:10.1016/j.sysarc.2025.103462
- July 2024 — Our work on dynamic mapping of mixed-criticality applications is presented at IEEE ICDCS 2024, Jersey City. doi:10.1109/ICDCS60910.2024.00154
