3 papers
cs.LG2026
Edge AI on Constrained Devices for Binary Sleep-Wake Classification in Dynamic Environments
Stefan Reitmann, Lena Oden
This paper presents an Edge AI-based system for detecting sleep and wake states in non-stationary mobile environments using resource-constrained embedded hardware. Conventional app…
cs.RO2026
Towards Intent-Aware Human-Robot Teaming: A Platform for Search-and-Rescue Operations
Rohith Prem Maben, Ayesha Jena, Björn Olofsson +4
We investigate the challenges of enabling effective collaboration between human operators and heterogeneous autonomous agents in complex, dynamic environments by developing an inte…
cs.LG2026
Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge
Niclas Meyer, Stefan Reitmann
Deploying three-dimensional deep learning frameworks to low-power embedded processors is bottlenecked by the unstructured nature of spatial data and the resource-intensive distance…