This study aims to explore the usability of virtual robotics programming curriculum (VRP-C) for teaching. Pre-service computer science (CS) teachers were trained teaching by using VRP-C in a scientific education activity. After training, views participants revealed scale and an evaluation form consisting open-ended questions. Results show that is compatible with schools, pre-service CS tend use...

Normative voice range profiles (VRP) are calculated for a group of male and female teachers, based on 43 and 46 recordings, respectively. All individuals had healthy voices. These normative VRPs contain 95% prediction intervals for both frequency and intensity. They are based on a series of mathematical transformations of the original individual VRPs in order to maintain in the normative VRPs t...

In previous research, the authors’ group has discussed both the development and prototype of the proposed courtesy bus scheduling system for a day care. The research found in this paper highlights the upgrades of the system. The arrival time of the buses and their allocation to the customers is explicitly considered. Then, the problem is formulated as a Vehicle Routing Problem with Time Window ...

The Static and Stochastic Vehicle Routing Problem with Random Requests (SS-VRP-R) describes realistic operational contexts in which a fleet of vehicles has to serve customer requests appearing dynamically. Based on probabilistic knowledge about the appearance requests, SS-VRP-R seeks priori sequences vehicle relocations, optimizing expected responsiveness requests. In this paper, an existing co...

A multi-agent VRP solver is presented in this paper. It utilizes the contract-net protocol based allocation and several improvement strategies. It provides the solution with the quality of 81% compared to the optimal solution on 115 benchmark instances in polynomial time. The self-organizing capability of the system successfully minimizes the number of vehicles used. The presented solver archit...

Genetic Vehicle Representation (GVR) is a two level representational scheme, designed to deal in an effective way with all the information needed by candidate solutions, for the Vehicle Routing Problem (VRP). In this paper, we present an analysis on the influence of two crossover operators in the algorithm performance. A first study on diversity is also presented, regarding the issues of divers...

For humanoid robots to be used in real world scenarios, there is a need of robust and simple walking controllers. Limitation to flat terrain is a drawback of many walking controllers. We overcome this limitation by extending the concept of Divergent Component of Motion (DCM, also called ‘Capture Point’) to 3D. Therefor, we introduce the “Enhanced Centroidal Moment Pivot point” (eCMP) and the “V...

This paper evokes the vehicle routing problem (VRP) which aims to determine the minimum total cost pathways for a fleet of heterogeneous vehicles to deliver a set of customers' orders. The inability of optimization algorithms alone to fully satisfy the needs of logistic managers become obvious in transportation field due to the spatial nature of such problems. In this context, we couple a geogr...

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In logistic transport industry, individual demands and diversity requirements are matters in transport operation; this paper focused on solving vehicle routing problem (VRP) by using the immune genetic algorithm (IGA). In this algorithm, firstly, establish the mathematical model of VRP. Secondly, design the IGA of which use natural number coding method to encode antibodies; apply R continuous m...