Colony| Sleep Shift Scheduling Tool

Sleep Shift Scheduling Tool

Sleep loss and fatigue may lead to reduced performance and an increased risk to safety during many activities, including spaceflight. Your challenge is to develop an operational sleep shift scheduling tool that provides autonomous customization of a schedule for sleep, exercise, and nutrition to manage fatigue.

IPNOS Sleep Shift Scheduling App

Summary

IPNOS is an agent-based customisation tool to find optimal policy for sleep, exercise and nutrition intake. It is proposed to manage fatigue and suggest action required for specific individual profiles.

How We Addressed This Challenge

We develop an app by using reinforcement learning to find optimal policy for scheduling sleep, exercise and nutrition intake.


NASA Human Research Program report highlighted that astronauts consistently average less sleep during space mission relative to on the ground. Therefore, this app is proposed to assist personnel in managing fatigue in order to maintain operating performance throughout the mission

How We Developed This Project

Currently, efforts are needed to identify the environmental and mission conditions that interfere with sleep and circadian alignment, as well as individual differences in vulnerability and resiliency to sleep loss and circadian desynchronisation. This can be used as the input to our app and therefor the means to improve the astronaut quality of life and performance.

How We Used Space Agency Data in This Project

We use the data as the means to identify the app architecture and to develop the RL model for the scheduling problems