Use case #1: Emergency/Disaster Recovery


When a natural or human disaster occurs, the first 72 hours are particularly critical to locate and rescue people. Nowadays, rescuers are assisted by different robots able to fly, climb or crawl, that are equipped with different sensors (e.g., temperature, gas, humidity, radiation, multi-spectral camera, heart rate, gyroscopes, compass, GPS, etc.) and wireless communication means. Victims are usually equipped with wearable sensors like the ones embedded in a cell phone (e.g., heart rate, camera, gyroscope) that could send useful complementary data.


NEPHELE will support the rescue team to:

  1. Locate and identify victims.
  2. Assess the victims’ injury.
  3. Assess the damages and comprehend remaining risks to prioritize the rescue operations.

Main technical challenges

Here this challenges rely on the heterogeneity of devices and time strong requirements. Data should be filtered and processed at different levels of the continuum to guarantee short delays while maintaining full knowledge of the situation. Devices are heterogeneous in terms of CPU, memory, sensors, and energy capacities. Some of the HW and SW components are very specific to the situation, while others are common to multiple scenarios. The network is dynamic because of links fluctuations, energy depletion of devices and device mobility. How to use VOs, where to deploy edge computing for what application in such a context is a tremendous challenge that NEPHELE can address. The orchestration of VOs and their performance are highly related to the hardware that manages them.

To mimic this use case, we will set a pilot using lab HW such as Turtlebots Niryo arms, Summit XLS with a UR5 arm with several depth cameras, lidars and sensors.