28 citations · 83 across the 13 of their papers we have counts for
13 papers
Road to scalability for efficient graph search on massively parallel neuromorphic hardware
Oskar von Seeler, Elena C. Offenberg, Carlo Michaelis +4
Efficient computation of shortest paths in weighted graphs is a fundamental problem with many applications. Neuromorphic hardware platforms promise massively parallel, efficient co…
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
Tomas Kulvicius, Sigrun Lang, Claudius AA Widmann +5
Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for th…
Comparison of Motion Encoding Frameworks on Human Manipulation Actions
Lennart Jahn, Florentin Wörgötter, Tomas Kulvicius
Movement generation, and especially generalisation to unseen situations, plays an important role in robotics. Different types of movement generation methods exist such as spline ba…
Simulated Mental Imagery for Robotic Task Planning
Shijia Li, Tomas Kulvicius, Minija Tamosiunaite +1
Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpre…
Infant movement classification through pressure distribution analysis
Tomas Kulvicius, Dajie Zhang, Karin Nielsen-Saines +6
Aiming at objective early detection of neuromotor disorders such as cerebral palsy, we proposed an innovative non-intrusive approach using a pressure sensing device to classify inf…
Open video data sharing in developmental and behavioural science
Peter B Marschik, Tomas Kulvicius, Sarah Flügge +10
Video recording is a widely used method for documenting infant and child behaviours in research and clinical practice. Video data has rarely been shared due to ethical concerns of…
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
Marcell Wolnitza, Osman Kaya, Tomas Kulvicius +2
We propose a method for 3D object reconstruction and 6D-pose estimation from 2D images that uses knowledge about object shape as the primary key. In the proposed pipeline, recognit…
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter
Finding optimal paths in connected graphs requires determining the smallest total cost for traveling along the graph's edges. This problem can be solved by several classical algori…
Bootstrapping Concept Formation in Small Neural Networks
Minija Tamosiunaite, Tomas Kulvicius, Florentin Wörgötter
The question how neural systems (of humans) can perform reasoning is still far from being solved. We posit that the process of forming Concepts is a fundamental step required for t…
Semantic Image Search for Robotic Applications
Tomas Kulvicius, Irene Markelic, Minija Tamosiunaite +1
Generalization in robotics is one of the most important problems. New generalization approaches use internet databases in order to solve new tasks. Modern search engines can return…
One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke +2
Path planning plays a crucial role in robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed.…
Generation of Paths in a Maze using a Deep Network without Learning
Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite +1
Trajectory- or path-planning is a fundamental issue in a wide variety of applications. Here we show that it is possible to solve path planning for multiple start- and end-points hi…
Action Prediction in Humans and Robots
Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer +3
Efficient action prediction is of central importance for the fluent workflow between humans and equally so for human-robot interaction. To achieve prediction, actions can be encode…