Search Results for author:
Found 9 papers, 0 papers with code
Infant movement classification through pressure distribution analysis
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 infant general movements (GMs).
Open video data sharing in developmental and behavioural science
Video data has rarely been shared due to ethical concerns of confidentiality, although the need of shared large-scaled datasets remains increasing.
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
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.
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
The neural network has the same algorithmic complexity as Bellman-Ford and, in addition, we can show that network learning mechanisms (such as Hebbian learning) can adapt the weights in the network augmenting the resulting paths according to some task at hand.
Bootstrapping Concept Formation in Small Neural Networks
We argue that, first, Concepts are formed as closed representations, which are then consolidated by relating them to each other.
Semantic Image Search for Robotic Applications
Generalization in robotics is one of the most important problems.
One-shot path planning for multi-agent systems using fully convolutional neural network
In contrast to that, we propose a novel method by utilising fully convolutional neural network, which allows generation of complete paths, even for more than one agent, in one-shot, i. e., with a single prediction step.
Generation of Paths in a Maze using a Deep Network without Learning
Trajectory- or path-planning is a fundamental issue in a wide variety of applications.
Action Prediction in Humans and Robots
To achieve prediction, actions can be encoded by a series of events, where every event corresponds to a change in a (static or dynamic) relation between some of the objects in a scene.
