An important ability of a robot that interacts with the environment and manipulates objects is
to deal with the uncertainty in sensory data. Sensory information is necessary to, for …

Tactile sensing plays an important role in robot gras** and object recognition. In this work,
we propose a new descriptor named Spatio-Temporal Hierarchical Matching Pursuit (ST …

We address the issue of learning and representing object grasp affordance models. We
model grasp affordances with continuous probability density functions (grasp densities) …

This letter aims to show that robots equipped with a vision-based tactile sensor can perform
dynamic manipulation tasks without prior knowledge of all the physical attributes of the …

In this paper we will present our open-source robotics software RobWork. The main
objective is not to provide a detailed description of our system and compare it to related …

Gras** unknown objects based on real-world visual input is a challenging problem. In this
paper, we present an Early Cognitive Vision system that builds a hierarchical representation …

In this work, we present a generic approach to optimize the design of a parametrized robot
gripper including both selected gripper mechanism parameters, and parameters of the finger …

Gras** unknown objects based on visual input, where no a priori knowledge about the
objects is used, is a challenging problem. In this paper, we present an Early Cognitive Vision …

In the context of robot gras** and manipulation, realistic dynamic simulation requires
accurate modeling of contacts between bodies and, in a practical level, accurate simulation …

A robot's ability to grasp moving objects depends on the availability of real-time sensor data
in both the far-field and near-field of the gripper. This research investigates the potential …