Daniel Seichter
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View article: A Mobile Robotic Assistant to Improve Social Care Networking for Older and Frail People at Home: Main Results of the MORPHIA-Project
A Mobile Robotic Assistant to Improve Social Care Networking for Older and Frail People at Home: Main Results of the MORPHIA-Project Open
The aim of the MORPHIA (Mobile Robotic Care Assistant to Improve Participation, Care, Safety and Security in Home Care through a Video-Based Network of Caregivers) project (2020–23) was to develop a robot-assisted communication platform th…
View article: Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification
Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification Open
Object detection is a crucial capability of autonomous agents for human–robot collaboration, as it facilitates the identification of the current processing state. In industrial scenarios, it is uncommon to have comprehensive knowledge of a…
View article: PanopticNDT: Efficient and Robust Panoptic Mapping
PanopticNDT: Efficient and Robust Panoptic Mapping Open
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial. A mobile robot that is supposed to operate autonomously in indoor environments must have precise know…
View article: Efficient Multi-Task Scene Analysis with RGB-D Transformers
Efficient Multi-Task Scene Analysis with RGB-D Transformers Open
Scene analysis is essential for enabling autonomous systems, such as mobile robots, to operate in real-world environments. However, obtaining a comprehensive understanding of the scene requires solving multiple tasks, such as panoptic segm…
View article: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments Open
Semantic scene understanding is essential for mobile agents acting in various environments. Although semantic segmentation already provides a lot of information, details about individual objects as well as the general scene are missing but…
View article: Efficient and Robust Semantic Mapping for Indoor Environments
Efficient and Robust Semantic Mapping for Indoor Environments Open
A key proficiency an autonomous mobile robot must have to perform high-level tasks is a strong understanding of its environment. This involves information about what types of objects are present, where they are, what their spatial extend i…
View article: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis Open
Analyzing scenes thoroughly is crucial for mobile robots acting in different environments. Semantic segmentation can enhance various subsequent tasks, such as (semantically assisted) person perception, (semantic) free space detection, (sem…
View article: Speeding up Deep Neural Networks on the Jetson TX1
Speeding up Deep Neural Networks on the Jetson TX1 Open
In recent years, Deep Learning (DL) showed new top performances in almost all computer vision tasks that are important for automotive and robotic applications. In these applications both space and power are limited resources. Therefore, th…