The most critical moves that determine the success of a manipulation task are performed within the close vicinities of the object prior to grasping, and the goal prior to the final placement. Memorizing these state-action sequences and reusing them can dramatically improve the task efficiency, whereas even the state-of-the-art planning algorithms may require significant amount of time and compu...

ultrasound guidance for pain interventions is becoming increasing recognized as a useful imaging tool. one of the common interventions where it is gaining wider acceptance is during the performance of a stellate ganglion block. the following is a unique report where intravascular and neuronal injury occurred during the performance of an ultrasound guided stellate ganglion block followed by dysp...

Motion Planning is necessary for robots to complete different tasks. Rapidly-exploring Random Tree (RRT) and its variants have been widely used in robot motion planning due their fast search the state space. However, they perform not well many complex environments since needs simultaneously consider geometry constraints differential constraints. In this article, we propose a novel algorithm tha...

Proof planning is an application of AI-planning in mathematical domains. The planning operators, called methods, encode proving steps. One of the strength of proof planning comes from the usage of mathematical knowledge that heuristically restricts the search space. Semantically guided proof planning takes a diierent perspective and uses semantic information as search control heuristics. In thi...

Proof planning is an application of AI-planning in mathematical domains. The planning operators, called methods, encode proving steps. One of the strength of proof planning comes from the usage of mathematical knowledge that heuristically restricts the search space. Semantically guided proof planning uses semantic information as search control heuristics. In this report we describe the realisat...

Random trees planning has been used to solve connectivity problems in a variety of problem domains. In particular, these approaches are some of the most successful approaches to robotic motion planning. In this work we examine the broad array of random-tree that have been proposed for motion planning. From this survey we distill a general algorithmic framework for random-tree planning that abst...

In her paper ([4]), Janice Glasgow adresses many important advantages that imagery models can offer over sentential models such as predicate logic. In this response, we point out another important advantage of imagery with respect to the formulation of models. Consider the problem of reasoning about placing two-dimensional polygonal “blocks” in a space, illustrated in Figure 1. For purposes suc...