Marco Camurri

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Portable devices for first-person camera views will play a central role in future interactive systems. One necessary step for feasible human-computer guided activities is gesture recognition, preceded by a reliable hand segmentation from egocentric vision. In this work we provide a novel hand segmentation algorithm based on Random Forest superpixel(More)
Three-dimensional object recognition on range data and 3D point clouds is becoming more important nowadays. Since many real objects have a shape that could be approximated by simple primitives, robust pattern recognition can be used to search for primitive models. For example, the Hough transform is a well-known technique which is largely adopted in 2D(More)
By means of catecholamine fluorescence histochemistry in combination with quantitative microfluorimetry the effects of luteinizing hormone-releasing hormone (LH-RH) has been studied on the amine levels and turnover in discrete catecholamine (CA) nerve terminal populations in the hypothalamus of the hypophysectomized male rat. LH-RH highly selectively(More)
By means of receptor autoradiography using the dopamine (DA) receptor radioligands [3H]cis(z)-flupenthixol ([3H]FLU), [3H]spiperone, [3H]N-propyl-norapomorphine and amino-6,7-dihydroxy-1,2,3,4-tetrahydronaphtalene-2-(5,8[3H]) in combination with a microdensitometrical analysis indications have been obtained for the existence of a DA receptor of the D-1 type(More)
Reliable state estimation is crucial for stable planning and control of legged locomotion. A fundamental component of a state estimator in legged platforms is Leg Odometry, which only requires information about kinematics and contacts. Many legged robots use dedicated sensors on each foot to detect ground contacts. However, this choice is impractical for(More)
Agile robot locomotion on rough terrain is highly dependent on the ability to perceive the environment. In this paper, we show how the interaction between a reactive control framework and an online mapping system can significantly improve the trotting performance on irregular terrain. In particular, this new locomotion controller increases the stability of(More)
In this paper we present a system for the state estimation of a dynamically walking and trotting quadruped. The approach fuses four heterogeneous sensor sources (inertial, kinematic, stereo vision and LIDAR) to maintain an accurate and consistent estimate of the robot’s base link velocity and position in the presence of disturbances such as slips and(More)