• Publications
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Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
TLDR
We propose a novel over-segmentation algorithm which uses voxel relationships to produce superpixels which are fully consistent with the spatial geometry of the scene in three dimensional, rather than projective, space. Expand
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Object Partitioning Using Local Convexity
TLDR
We present a new, efficient learning- and model-free approach for the segmentation of 3D point clouds into object parts based on a voxel grid. Expand
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State-dependent receptive-field restructuring in the visual cortex
To extract important information from the environment on a useful timescale, the visual system must be able to adapt rapidly to constantly changing scenes. This requires dynamic control of visualExpand
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Activity-dependent structural plasticity
Plasticity in the brain reaches far beyond a mere changing of synaptic strengths. Recent time-lapse imaging in the living brain reveals ongoing structural plasticity by forming or breaking ofExpand
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Convexity based object partitioning for robot applications
TLDR
The idea that connected convex surfaces, separated by concave boundaries, play an important role for the perception of objects and their decomposition into parts has been discussed for a long time. Expand
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Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning
TLDR
In this paper, we present our design and experiments on a planar biped robot under the control of a pure sensor-driven controller. Expand
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Joining Movement Sequences: Modified Dynamic Movement Primitives for Robotics Applications Exemplified on Handwriting
TLDR
The generation of complex movement patterns, in particular, in cases where one needs to smoothly and accurately join trajectories in a dynamic way, is an important problem in robotics. Expand
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Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms
TLDR
In this review, we compare methods for temporal sequence learning (TSL) across the disciplines machine-control, classical conditioning, neuronal models for TSL as well as spike-timing-dependent plasticity (STDP). Expand
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Self-Organized Criticality in Developing Neuronal Networks
TLDR
We describe the dynamics of the emergent connectivity in such developing systems in terms of self-organized criticality in cortical cell cultures. Expand
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Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes
TLDR
We describe a process in which the segmentation of objects as well as the extraction of the object shape becomes realized through active exploration of a robot vision system in which robot actions link robot actions to the visual and haptic perception of objects. Expand
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