Learning a complex dynamic robot maneuver from a single human demonstration is difficult. This paper explores an approach to learning from demonstration based on learning an optimization criterion from the demonstration and a task model from repeated attempts to perform the task, and using the learned criterion and model to compute an appropriate robot movement. A preliminary version of the app...

PURPOSE To develop an anthropomorphic phantom to simulate heart, lung, and blood motion. Magnetic resonance imaging (MRI) is sensitive to image distortion and artifacts caused by motion. Imaging phantoms are used to test new sequences, but generally, these phantoms lack physiological motion. For the validation of new MR-based endovascular interventional and other techniques, we developed a dyna...

BACKGROUND The purpose of this study is to explore how a patient's height and weight can be used to predict the effective dose to a reference phantom with similar height and weight from a chest abdomen pelvis computed tomography scan when machine-based parameters are unknown. Since machine-based scanning parameters can be misplaced or lost, a predictive model will enable the medical professiona...

This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non linear mappings between sensory signals and motor control. The learning phase is handled through a General Regression Neural Network model simulated by using near neighbors search algorithms (kd-tree). The resulting adapti...

introduction: in diagnostic and therapeutic procedures, dosimetric studies are performed on the dosimetric systems in order to comply the radiation safety standards. monte carlo methods are used due to the high complexity and cost of patient-specific phantom construction. the high complexity of the digitized phantoms greatly increases the time and computational task of the monte carlo calculati...

The aim of this work was to calculate synthetic digital chest tomosynthesis projections using a computer simulation model based on the Monte Carlo method. An anthropomorphic chest phantom was scanned in a computed tomography scanner, segmented and included in the computer model to allow for simulation of realistic high-resolution X-ray images. The input parameters to the model were adapted to c...

As we push the limit on exploration of uninhabitable environments, human explorers have been increasingly replaced by robots. We have attempted to give these robot explorers a human advantage. To accomplish this task a multifingered ten degree of freedom robot hand has been constructed. The robot’s actions are dynamically controlled by actuator cables attached to radial servomechanisms. Its fun...