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Volume 27, Issue 4August 1997
Publisher:
  • IEEE Press
ISSN:1083-4419
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research-article
A traffic priority language for collision-free navigation of autonomous mobile robots in dynamic environments

This paper presents a generic traffic priority language, called KYKLOFORTA, used by autonomous robots for collision-free navigation in a dynamic unknown or known navigation space. In a previous work by X. Grossmman (1988), a set of traffic control rules ...

research-article
Genetic-based search for error-correcting graph isomorphism

Error-correcting graph isomorphism has been found useful in numerous pattern recognition applications. This paper presents a genetic-based search approach that adopts genetic algorithms as the searching criteria to solve the problem of error-correcting ...

research-article
A reactive coordination scheme for a many-robot system

This paper presents a novel approach for coordinating a homogeneous system of mobile robots using implicit communication in the form of broadcasts. The broadcast-based coordination scheme was developed for the Army Ant swarm-a system of small, ...

research-article
Sensor explication: knowledge-based robotic plan execution through logical objects

Complex robot tasks are usually described as high level goals, with no details on how to achieve them. However, details must be provided to generate primitive commands to control a real robot. A sensor explication concept that makes details explicit ...

research-article
Design, control, and energetics of an electrically actuated legged robot

To study the design, control and energetics of autonomous dynamically stable legged machines we have built a planar one-legged robot, the ARL Monopod. Its top running speed of 4.3 km/h (1.2 m/s) makes it the fastest electrically actuated legged robot to ...

research-article
An adaptive neural fuzzy filter and its applications

A new kind of nonlinear adaptive filter, the adaptive neural fuzzy filter (ANFF), based upon a neural network's learning ability and fuzzy if-then rule structure, is proposed in this paper. The ANFF is inherently a feedforward multilayered connectionist ...

research-article
Learning control algorithms for tracking “slowly” varying trajectories

To date, most of the available results in learning control have been utilized in applications where a robot is required to execute the same motion over and over again, with a certain periodicity. This is due to the requirement that all learning ...

research-article
Database summarization using fuzzy ISA hierarchies

Summary discovery is one of the major components of knowledge discovery in databases, which provides the user with comprehensive information for grasping the essence from a large amount of information in a database. In this paper, we propose an ...

research-article
Algebraically structured colored Petri nets to model sequential processes

Sequential processes can hardly be modeled with Colored Petri Nets (CPN). Their standard functions (such as “Succ” and “Prec”) can only describe simple cases whereas modeling a complex sequence requires the definition of a function via a cumbersome and ...

research-article
A new approach to adaptive fuzzy control: the controller output error method

The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output. This ...

research-article
Nonlinear parameter estimation by weighted linear associative memory with nonzero interception

The method of linear associative memory (LAM) has recently been applied in nonlinear parameter estimation. In the method of LAM, a model response, nonlinear with respect to the parameters, is approximated linearly by a matrix, which maps inversely from ...

research-article
On typical values and fuzzy integrals

A new approach for obtaining a typical value of a fuzzy set as a fuzzy integral is developed by replacing the classic Lebesgue measure with the “typicality” measure. A new method for representing and calculating the one-dimensional fuzzy ...

research-article
A robust fuzzy logic controller for robot manipulators with uncertainties

Owing to load variation and unmodeled dynamics, a robot manipulator can be classified as a nonlinear dynamic system with structured and unstructured uncertainties. In this paper, the stability and robustness of a class of the fuzzy logic control (FLC) ...

research-article
Fuzzy query translation for relational database systems

The paper presents a new method for fuzzy query translation based on the α-cuts operations of fuzzy numbers. This proposed method allows the retrieval conditions of SQL queries to be described by fuzzy terms represented by fuzzy numbers. It ...

research-article
A counterexample to the Alexopoulos-Griffin path planning algorithm

The planar stationary-obstacle path-planning problem for polygonal obstacles has been correctly and completely solved by T. Lozano-Perez and M. Wesley (1979), i.e., a global, optimal algorithm was provided which requires O(μ2logμ) computation time,...

research-article
A note on “Solving the find-path problem by good representation of free space”

The conditions of a pure translation and a pure rotation for car-like robots and dual-drive robots are derived. Based on these conditions the suitability of the path planning algorithm developed by R.A Brooks (1983) for each of the two kinds of mobile ...

research-article
Interval-valued fuzzy hypergraph and fuzzy partition

This paper extends the work of H. Lee-Kwang and L.M. Lee (1995) to present the concept of the interval-valued fuzzy hypergraph. In the interval-valued fuzzy hypergraph, the concepts of the dual interval-valued fuzzy hypergraph, the crisp-valued α-...

research-article
Stochastic searching on the line and its applications to parameter learning in nonlinear optimization

We consider the problem of a learning mechanism (for example, a robot) locating a point on a line when it is interacting with a random environment which essentially informs it, possibly erroneously, which way it should move. In this paper we present a ...

research-article
Function approximation using fuzzy neural networks with robust learning algorithm

The paper describes a novel application of the B-spline membership functions (BMF's) and the fuzzy neural network to the function approximation with outliers in training data. According to the robust objective function, we use gradient descent method to ...

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