A Model Based Approach to Modular Multi-Objective Robot Control

A Model Based Approach to Modular Multi-Objective Robot Control

Two broad classes of robot controllers are the modular, and the model based approaches. The modular approaches include the Reactive or Behavior Based designs. They do not rely on mathematical system models, but are easy to design, modify and extend. In the model based approaches, a model is used to design a single controller with verifiable system properties. The resulting designs are however o...

A fuzzy approach to solve a multi-objective linear fractional inventory model

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

A new Approach to the Multi-Objective Control of Linear Singular Perturbation Systems

A Dialogue-based Approach to Multi-robot Team Control

This paper describes an approach to integrating a human into a team of robots through a dialogue-based planning assistant. We describe how the Rochester Interactive Planning System (TRIPS) is able to recognize and translate a user’s intentions into collaborative problem solving acts. The user interacts naturally through language and avoids complex machine interfaces as TRIPS manages the appropr...

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

The optimization of investment portfolios is the most important topic in financial decision making, and many relevant models can be found in the literature.  According to importance of portfolio optimization in this paper, deals with novel solution approaches to solve new developed portfolio optimization model. Contrary to previous work, the uncertainty of future retur...