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Dive into the research topics where Arthur C. Sanderson is active.

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Featured researches published by Arthur C. Sanderson.


IEEE Transactions on Evolutionary Computation | 2009

JADE: Adaptive Differential Evolution With Optional External Archive

Jingqiao Zhang; Arthur C. Sanderson

A new differential evolution (DE) algorithm, JADE, is proposed to improve optimization performance by implementing a new mutation strategy ldquoDE/current-to-p bestrdquo with optional external archive and updating control parameters in an adaptive manner. The DE/current-to-pbest is a generalization of the classic ldquoDE/current-to-best,rdquo while the optional archive operation utilizes historical data to provide information of progress direction. Both operations diversify the population and improve the convergence performance. The parameter adaptation automatically updates the control parameters to appropriate values and avoids a users prior knowledge of the relationship between the parameter settings and the characteristics of optimization problems. It is thus helpful to improve the robustness of the algorithm. Simulation results show that JADE is better than, or at least comparable to, other classic or adaptive DE algorithms, the canonical particle swarm optimization, and other evolutionary algorithms from the literature in terms of convergence performance for a set of 20 benchmark problems. JADE with an external archive shows promising results for relatively high dimensional problems. In addition, it clearly shows that there is no fixed control parameter setting suitable for various problems or even at different optimization stages of a single problem.


international conference on robotics and automation | 1987

Dynamic sensor-based control of robots with visual feedback

Lee E. Weiss; Arthur C. Sanderson; Charles P. Neuman

Sensor-based robot control may be viewed as a hierarchical structure with multiple observers. Actuator, feature-based, and recognition observers provide the basis for multilevel feedback control at the actuator, sensor, and world coordinate frame levels, respectively. The analysis and design of feature-based control strategies to achieve consistent dynamic performance is addressed. For vision sensors, such an image-based visual servo control is shown to provide stable and consistent dynamic control within local regimes of the recognition observer. Simulation studies of two- and three-degree-of-freedom systems show the application of an adaptive control algorithm to overcome unknown and nonlinear relations in the feature to world space mapping.


international conference on robotics and automation | 1989

A correct and complete algorithm for the generation of mechanical assembly sequences

L.S. Homem de Mello; Arthur C. Sanderson

The authors present an algorithm for the generation of mechanical assembly sequences and a proof of its correctness and completeness. The algorithm uses a relational model which describes the geometry of the assembly and the attachments that bind one part to another. The problem of generating the assembly sequences is transformed into the problem of generating disassembly sequences, in which the disassembly tasks are the reverse of feasible assembly tasks. This transformation leads to a decomposition approach in which the problem of disassembling one assembly is decomposed into distinct subproblems, each involving the disassembly of one subassembly. It is assumed that at each assembly task exactly two subassemblies are mated and that all contacts between the parts in the two subassemblies are established. The algorithm yields an AND/OR graph representation of assembly sequences. The correctness of the algorithm is based on the assumption that it is always possible to decide correctly whether two subassemblies can be joined based on geometrical and physical criteria. An approach to compute this decision is given, and bounds for the amount of computation required are presented. >


international conference on robotics and automation | 1991

Representations of mechanical assembly sequences

L.S. Homem de Mello; Arthur C. Sanderson

Five types of representations for assembly sequences are reviewed: the directed graph of feasible assembly sequences; the AND/OR graph of feasible assembly sequences; the set of establishment conditions, and two types of precedence relationships namely those between the establishment of one connection between parts and the establishment of another connection, and those between the establishment of one connection and states of the assembly process. The mappings of one representation into the others are established. The correctness and completeness of these representations are established. The results presented are needed in the proof of correctness and completeness of algorithms for the generation of mechanical assembly sequences. >


international conference on robotics and automation | 1988

The motion of a pushed, sliding workpiece

Michael A. Peshkin; Arthur C. Sanderson

It occurs frequently in robotic applications that a robot manipulates a workpiece which is free to slide on a work surface. Because the pressure distribution supporting the workpiece on the work surface cannot in general be known, the motion of the workpiece cannot be calculated uniquely. The authors find the locus of centers of rotation of a workpiece for all possible pressure distributions. The results allow a quantitative understanding of open-loop robot motions which guarantee the alignment of a workpiece. Several sample problems are solved using the results, including the distance that a flat fence, or robot finger, must push a polygonal workpiece to assure that a facet of the workpiece comes into alignment with the fence. >


systems man and cybernetics | 1999

Minimal representation multisensor fusion using differential evolution

Rajive Joshi; Arthur C. Sanderson

Fusion of information from multiple sensors is required for planning and control of robotic systems in complex environments. The minimal representation approach is based on an information measure as a universal yardstick for fusion and provides a framework for integrating information from a variety of sources. In this paper, we describe the principles of minimal representation multisensor fusion and evaluate a differential evolution approach to the search for solutions. Experiments in robot manipulation using both tactile and visual sensing demonstrate that this algorithm is effective in finding useful and practical solutions to this problem for real systems. Comparison of this differential evolution algorithm with more traditional genetic algorithms shows distinct advantages in both accuracy and efficiency.


IEEE Transactions on Pattern Analysis and Machine Intelligence | 1988

Structured highlight inspection of specular surfaces

Arthur C. Sanderson; Lee E. Weiss; Shree K. Nayar

An approach to illumination and imaging of specular surfaces that yields three-dimensional shape information is described. The structured highlight approach uses a scanned array of point sources and images of the resulting reflected highlights to compute local surface height and orientation. A prototype structured highlight inspection system, called SHINY, has been implemented. SHINY demonstrates the determination of surface shape for several test objects including solder joints. The current SHINY system makes the distant-source assumption and requires only one camera. A stereo structured highlight system using two cameras is proposed to determine surface-element orientation for objects in a much larger field of view. Analysis and description of the algorithms are included. The proposed structured highlight techniques are promising for many industrial tasks. >


international conference on robotics and automation | 1988

Planning robotic manipulation strategies for workpieces that slide

Michael A. Peshkin; Arthur C. Sanderson

The authors consider the automated planning of manipulation strategies for workpieces able to slide on their work surface. The aim is to generate open-loop (i.e. sensorless) strategies which succeed in aligning or grasping a workpiece, in the face of two kinds of uncertainty: (1) the initial configuration of the workpiece may have some bounded error, and (2) the details of the contact between workpiece and work surface may be unknown, precluding deterministic solution for the motion of the workpiece even were its initial configuration exactly known. Configuration maps are defined which map all configurations of a workpiece before elementary manipulative operation to all possible outcomes. Using elementary manipulative operations (represented by configuration maps) as primitives, appropriate search techniques are applied to find operations sequences which are guaranteed to succeed despite uncertainty. As a concrete example, the authors demonstrate the automated design of a class of passive parts-feeder consisting of multiple sequential fences across a conveyor belt. >


international conference on robotics and automation | 1990

Specular surface inspection using structured highlight and Gaussian images

Shree K. Nayar; Arthur C. Sanderson; Lee E. Weiss; David A. Simon

The structured highlight inspection method uses an array of point sources to illuminate a specular object surface. The point sources are scanned, and highlights on the object surface resulting from each source are used to derive local surface orientation information. The extended Gaussian image (EGI) is obtained by placing at each point on a Gaussian sphere a mass proportional to the area of elements on the object surface that have a specific orientation. The EGI summarizes shape properties of the object surface and can be efficiently calculated from structured highlight data without surface reconstruction. Features of the estimated EGI including areas, moments, principal axes, homogeneity measures, and polygonality can be used as the basis for classification and inspection. The structured highlight inspection system (SHINY) has been implemented using a hemisphere of 127 point sources. The SHINY system uses a binary coding scheme to make the scanning of point sources efficient. Experiments have used the SHINY system and EGI features for the inspection and classification of surface-mounted-solder joints. >


IEEE Transactions on Evolutionary Computation | 2001

Planning multiple paths with evolutionary speciation

Cem Hocaoglu; Arthur C. Sanderson

This paper demonstrates a new approach to multidimensional path planning that is based on multiresolution path representation, where explicit configuration space computation is not required, and incorporates an evolutionary algorithm for solving the multimodal optimization problem, generating multiple alternative paths simultaneously. The multiresolution path representation reduces the expected search length for the path-planning problem and accordingly reduces the overall computational complexity. Resolution independent constraints due to obstacle proximity and path length are introduced into the evaluation function. The system can be applied for planning paths for mobile robots, assembly, and articulated manipulators. The resulting path-planning system has been evaluated on problems of two, three, four, and six degrees of freedom. The resulting paths are practical, consistent, and have acceptable execution times. The multipath algorithm is demonstrated on a number of 2D path-planning problems.

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Robert J. Graves

Rensselaer Polytechnic Institute

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Cem Hocaoglu

Rensselaer Polytechnic Institute

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Lee E. Weiss

Carnegie Mellon University

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Tiehua Cao

Rensselaer Polytechnic Institute

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Woo Ho Lee

University of Texas at Arlington

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Jingqiao Zhang

Rensselaer Polytechnic Institute

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Rajive Joshi

Rensselaer Polytechnic Institute

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Feng Xue

Rensselaer Polytechnic Institute

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