Resources such as food, hit points or magical power are standard features of today's computer games. Computer-guided characters often have goals that are related to these resources and must take this into account in planning their behavior. In the eld of artiicial intelligence , resource-based action planning systems have recently begun to mushroom. However, these systems still tend to neglect ...

This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem the Labeled Real-Time Dynamic Programming (lrtdp) approaches is applied in an effective way. lrtdp concentrates the planning on significant states of the environment only, as the search is guided by an initial heuristic. As demonstrated...

MRI brain images are widely used in medical applications for research, diagnosis, treatment, surgical planning and image guided surgeries. These MR brain images are often corrupted with various imaging artifacts and may affect the performance of brain image processing techniques. In this paper, we listed and identified the causes of the common imaging artifacts in MR brain images.

This paper proposes the guided iterative prioritized planning (GIPP) algorithm to address the problem of moving multiple mobile agents to their respective destinations in a shortest timerelated cost. Compared to other MAPP algorithms, the GIPP algorithm strikes a good balance between various performance criteria such as finding feasible solutions, completing the task promptly and low computatio...

In neonates and infants with congenital heart disease (CHD), cardiovascular magnetic resonance (CMR) is an established imaging modality in all patients in whom echocardiography does not provide sufficient information and definitive diagnosis. CMR is noninvasive, and does not involve vascular catheterization or ionizing radiation. Therefore the use of CMR obviates the potential risks of cardiac ...

We document the empirical results from Carnegie Mellon University’s entry into the DARPA Robotics Challenge. Our system seamlessly and intelligently integrates recent advances in autonomous manipulation with the perspective and intuition of an expert human operator. Virtual fixtures are used as the common language between the operator and the motion planner. The planning system then solves a gu...

A cognitive robot may face failures during the execution of its actions in the physical world. In this paper, we investigate how robots can ensure robustness by gaining experience on action executions, and we propose a lifelong experimental learning method. We use Inductive Logic Programming (ILP) as the learning method to frame new hypotheses. ILP provides first-order logic representations of ...

19 p22 pracTical prOcedures illustrates procedures. This week: catheter drainage and support p24 iNNOVaTiONs reports on nurse-led initiatives. This week: improving care in dermatology p26 guided learNiNg includes online cpd. This week: the Mental capacity act – ethics p29 deVelOpMeNT shows how nurses are developing practice. This week: specialist support network p32 researcH presents research p...

An overview of the current status of the development of our navigation system for resection of liver tumours is given. The system is based on intraoperative 3D ultrasound volumes for image-guided navigation of surgical instruments. It is also possible to perform a virtual 3D planning of the tumour resection and to non-rigidly register these preoperative models to the intraoperative ultrasound v...