Visually guided classification trees for analyzing chronic patients

Visually guided object grasping

{ In this paper we describe a method for aligning a robot gripper | or any other end eeector | with an object. An example of such a gripper/object alignment is grasping. The task consists of, rst computing an alignment condition, and second servoing the robot such that it moves and reaches the desired position. A single camera is used to provide the visual feedback necessary to estimate the loc...

Representatives for Visually Analyzing Cluster Hierarchies

Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aided engineering, marketing and purchasing assistance as well as many others. In this paper, we show how visualizing the hierarchical clustering structure of a database of objects can aid the user in his time consuming t...

Visually Guided Mobile Robots

Our mobile robots use trinocular stereo sensors to sense their environment, navigate around obstacles in a dynamic, unknown world and partner with humans in various tasks. Fundamental to these abilities is the capacity to build a map and locate themselves relative to it, while operating. Here we review a collection of methods that permit mobile robots to acquire spatial and visual maps of their...

Visually Guided Navigation

Evolving Visually Guided Robots

We have developed a methodology grounded in two be liefs that autonomous agents need visual processing ca pabilities and that the approach of hand designing con trol architectures for autonomous agents is likely to be superseded by methods involving the arti cial evolution of comparable architectures In this paper we present results which demonstrate that neural network control architectures ca...