This demonstration proposal is for a distributed traffic intersection traffic-light control called GreenWave. The solution couples camera sensors with a novel collaborative multiagent goaloriented control algorithm to outperform both conventional and theoretical approaches. The system is designed for real use, although simulated traffic data will be used for the demonstration.

Removing suboptimal actions that can exist in a demonstration is s key problem to be solved in Robot Programming by Demonstration. In this paper we present the rst step of an approach for solving this problem. We present how the Con guration Space (Cspace) of a task can be derived from demonstration. A demonstration traces out paths on a number of Csurfaces in C-space. The idea is to use statis...

Programming by Demonstration: a Machine Learning Approach

It is now generally accepted that several types of “risks” can be recognized for built facilities and environments: they are not limited to collapses and heavy damages but involve comfort and way of life (cf. e.g. Augusti et al., 2003). The most rational way of tackling such risks and their reduction is Performance-based Design PBD (or, better, Performance-based Engineering). This lecture will ...

Conventional myelography, metrizamide computed tomographic (CT) myelography, and surgical findings were correlated in 30 patients with cervical radiculopathy and/or myelopathy. In 60% of patients, metrizamide CT myelography provided significant additional information including better characterization of the abnormality, lateralization if the conventional myelogram was indeterminate, more defini...

We develop a scalable cell-level analytical model for multi-cell infrastructure IEEE 802.11 WLANs under a so-called Pairwise Binary Dependence (PBD) condition. The PBD condition is a geometric property under which the relative locations of the nodes inside a cell do not matter and the network is free of hidden nodes. For the cases of saturated nodes and TCP-controlled long-file downloads, we pr...

Effective robot programming by demonstration requires the availability of multiple demonstrations to learn about all relevant aspects of the demonstrated skill or task. Typically, a human teacher must demonstrate several variants of the desired task to generate a sufficient amount of data to reliably learn it. Here a problem often arises that there is a large variability in the speed of executi...

Programming by demonstration (PBD) utilizes a human teacher to train a computer system to perform tasks within that system. This technique effectively improves productivity for many tasks, in many domains. Many tasks are repetitive in nature; these can be learned by PBD by recognizing the repetitions and generalizing these to iterative programs. We present a domain-independent approach to itera...

  Objective: Different educational tools are now commonly used in universities worldwide such as illustrations, audio and videotapes, etc. This study aimed to compare the efficacy of educational film and clinical demonstration for instruction of Fiber-Reinforced Composite (FRC) post restorations to dental students in Department of Restorative Dentistry.   Methods: This interventional study was ...

In robot programming by demonstration, we hypothesize that in a class of procedural tasks where the end goal primarily consists of the states of objects that are external to a task performer, one can significantly reduce complexity of a robot learner by not processing a human demonstrator’s motions at all. In this class of tasks, object behaviors are far more critical than human behaviors. Base...