Split-Inference Architecture for Device-Centric Radio Sensing in a Networked Robotics Scenario
In this paper, we present an architecture for neuromorphic device-edge co-inference, with application to radio sensing for environment mapping in networked robotics scenarios. The developed demonstration setup integrates a radar sensor, radar preprocessing unit and neuromorphic processing unit (NPU) implemented on-device, while the sensing task (object detection, tracking and environment mapping) is completed at the edge server (access point).
Authors
- Kenan Turbić (ORCID: https://orcid.org/0000-0002-1951-9916)
- Sven Wittig (ORCID: https://orcid.org/0000-0003-1143-398X)
- Sławomir Stańczak (ORCID: https://orcid.org/0000-0003-3829-4668)
- Ramez Askar (ORCID: https://orcid.org/0000-0003-4009-5633)
- Zoran Utkovski (ORCID: https://orcid.org/0000-0002-8110-0032)
- Mehdi Heshmati
- Michael Peter
- Yuzhen Ke
Institutions
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
Publication Details
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1109/icmlcn64995.2025.11140358
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Education
- HORIZON EUROPE Framework Programme