Presentation
Operational Safety in Human-in-the-loop Human-in-the-plant Autonomous Systems
DescriptionThis paper takes a human-in-the-loop human-in-the-plant (HIL-HIP) approach towards ensuring operational safety of autonomous systems. A three-way interaction is considered: a) through personalized inputs and biological feedback processes between HIP and HIL, b) through sensors and actuators between RWC and HIP, and c) through personalized configuration changes and data feedback between HIL and RWC. We extend control Lyapunov theory by generating barrier function (CLBF) under human action plans and integrate with neural architectures that can learn certificates. Synthesized HIL-HIP controller for automated insulin delivery in Type 1 Diabetes could reduce hypoglycemia by 3.8% as compared to standard model predictive control.
Event Type
Work-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security