Informatik und Kommunikation
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Institut
Soft Skills
(2014)
In der wissenschaftlichen Literatur gibt es kaum Studien, die sich mit der konkreten Alltagstauglichkeit von Smartwatches beschäftigen, um zu verstehen, warum die Klasse von wearables eher ein Nischendasein führt. In diesem Beitrag wird daher die Verwendung einer Smartwatch am Beispiel Kochen untersucht. Hierzu wurde eine Koch-App mit Rezeptinformationen für eine Smartwatch entwickelt, welche über Hand- und Armbewegungen in Form von Gesten bedient werden kann. In einer Feldstudie mit acht Probanden wurde ermittelt, inwieweit diese Interaktionsform den Kochprozess verändert. Die Ergebnisse zeigen, dass die unmittelbare Verfügbarkeit der Uhr sowohl Effizienz- als auch Effektivitätsvorteile gegenüber klassischen Kochhilfen bietet. Die Steuerung via Freihandgesten erlaubte zudem die Nutzung in einem Szenario, in welchem die Hände oft belegt oder verschmutzt sind und somit eine Bedienung per Finger problematisch sein kann. Die Uhr wurde von den Probanden dabei als nützliches Werkzeug erachtet, obwohl diese bislang keinerlei Erfahrung mit einem solchen Gerät hatten.
The video shows the first test of a small spherical UAV (35 cm) with 4 rotors for missions in complex environments such as buildings, caves or tunnels. The spherical design protects the vehicle's internal components and allows the UAV to roll over the ground when the environment allows. The drone can land and take off in any position and come into contact with objects without endangering the propellers and can restart even after crashes.
This technical report is about the architecture and integration of very small commercial UAVs (< 40 cm diagonal) in indoor Search and Rescue missions. One UAV is manually controlled by only one single human operator delivering live video streams and image series for later 3D scene modelling and inspection. In order to assist the operator who has to simultaneously observe the environment and navigate through it we use multiple deep neural networks to provide guided autonomy, automatic object detection and classification and local 3D scene modelling. Our methods help to reduce the cognitive load of the operator. We describe a framework for quick integration of new methods from the field of Deep Learning, enabling for rapid evaluation in real scenarios, including the interaction of methods.
Problem: A group of robots, called a swarm, is placed in an unknown environment and is supposed to explore it independently. The goal of the exploration is the creation of a common map.
Implementation
- Equipping six Kobuki robots with appropriate sensor technology, a large battery, a router and the Jetson board
- Setup of the Jetson-Boards with self-made ROS2 nodes and the set up mesh network
- Writing of launch files for the common start of all functions
- Reinforcement learning is used to train an AI that controls the swarm by selecting points for the robots to approach and navigating to them and navigating them there.
- Setting up a responsive website using Angular and the Bootstrap
Framework.
Ressortjournalismus
(2016)
In the realm of digital situational awareness during disaster situations, accurate digital representations,
like 3D models, play an indispensable role. To ensure the
safety of rescue teams, robotic platforms are often deployed
to generate these models. In this paper, we introduce an
innovative approach that synergizes the capabilities of compact Unmaned Arial Vehicles (UAVs), smaller than 30 cm, equipped with 360° cameras and the advances of Neural Radiance Fields (NeRFs). A NeRF, a specialized neural network, can deduce a 3D representation of any scene using 2D images and then synthesize it from various angles upon request. This method is especially tailored for urban environments which have experienced significant destruction, where the structural integrity of buildings is compromised to the point of barring entry—commonly observed post-earthquakes and after severe fires. We have tested our approach through recent post-fire scenario, underlining the efficacy of NeRFs even in challenging outdoor environments characterized by water, snow, varying light conditions, and reflective surfaces.
Recommendations for the Development of a Robotic Drinking and Eating Aid - An Ethnographic Study
(2021)
Being able to live independently and self-determined in one’s own home is a crucial factor or human dignity and preservation of self-worth. For people with severe physical impairments who cannot use their limbs for every day tasks, living in their own home is only possible with assistance from others. The inability to move arms and hands makes it hard to take care of oneself, e.g. drinking and eating independently. In this paper, we investigate how 15 participants with disabilities consume food and drinks. We report on interviews, participatory observations, and analyzed the aids they currently use. Based on our findings, we derive a set of recommendations that supports researchers and practitioners in designing future robotic drinking and eating aids for people with disabilities.