Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device

Similar documents
Generation of Crowned Parabolic Novikov gears

The stress transfer calculations presented in the main text reports only our preferred

BEHAVIOR OF ALTERNATE BARS UNDER UNSTEADY FLOW CONDITIONS

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Introduction. Section 9: HIGHER ORDER TWO DIMENSIONAL SHAPE FUNCTIONS

Uni-polar Orthogonal Codes : Design, Analysis and Applications

Direct Current Circuits

EE 410/510: Electromechanical Systems Chapter 3

CS3510 Design & Analysis of Algorithms Fall 2017 Section A. Test 3 Solutions. Instructor: Richard Peng In class, Wednesday, Nov 15, 2017

Survival Probability and Intensity Derived from Credit Default Swaps

APPLICATIONS OF THE MELLIN TYPE INTEGRAL TRANSFORM IN THE RANGE (1/a, )

Recap Shape Functions

1.B Appendix to Chapter 1

BEST PATTERN OF MULTIPLE LINEAR REGRESSION

by Lauren DeDieu Advisor: George Chen

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Size Reduction of The Transfer Matrix of. Two-Dimensional Ising and Potts Models

The Forming Theory and Computer Simulation of the Rotary Cutting Tools with Helical Teeth and Complex Surfaces

X-Ray Notes, Part III

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions

Merchantable-stem Green and Dry Weight Prediction Equations Based on a New Segmented-stem Taper Model

Chapter Trapezoidal Rule of Integration

A NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS

THE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS

Physics 15 Second Hour Exam

SEISMIC RESPONSE ANALYSIS FOR TELECOMMUNICATION TOWERS BUILT ON THE BUILDING

ESS 265 Spring Quarter 2005 Kinetic Simulations

Optimal control of multi-missile system based on analytical method

Maximum Flow. Flow Graph

Physics 120 Spring 2007 Exam #1 April 20, Name

8. INVERSE Z-TRANSFORM

Released Assessment Questions, 2017 QUESTIONS

TOPICAL PROBLEMS OF FLUID MECHANICS 141

CHAPTER 10: LINEAR DISCRIMINATION

graph of unit step function t

A SIMPLE PRECIPITATION MODEL 1

Software Reliability Growth Models Incorporating Fault Dependency with Various Debugging Time Lags

( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

CEE598 - Visual Sensing for Civil Infrastructure Eng. & Mgmt.

50 AMC Lectures Problem Book 2 (36) Substitution Method

AN IMPROVED CREEP AND SHRINKAGE BASED MODEL FOR DEFLECTIONS OF COMPOSITE MEMBERS REINFORCED WITH CARBON FIBER REINFORCED BARS

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

CTLS 4 SNR. Multi Reference CTLS Method for Passive Localization of Radar Targets

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as:

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004

fractions Let s Learn to

An Approach to New Concept of Time on the Basis of Four Fundamental Forces of Nature

Graduate Algorithms CS F-18 Flow Networks

Conflict-Free Routing of AGVs on the Mesh Topology Based on a Discrete-Time Model

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Analysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag

SOLUTIONS TO ASSIGNMENT NO The given nonrecursive signal processing structure is shown as

The Characterization of Jones Polynomial. for Some Knots

Multivariate Time Series Analysis

)-interval valued fuzzy ideals in BF-algebras. Some properties of (, ) -interval valued fuzzy ideals in BF-algebra, where

ON APPLICATION OF CONTRACTION PRINCIPLE TO SOLVE TWO-TERM FRACTIONAL DIFFERENTIAL EQUATIONS

CHAPTER 5 SPEED CONTROLLER BY SYMMETRIC OPTIMUM APPROXIMATION METHOD

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

1 This diagram represents the energy change that occurs when a d electron in a transition metal ion is excited by visible light.

Bisimulation, Games & Hennessy Milner logic p.1/32

Analysis of Variance and Design of Experiments-II

700 STATEMENT OF ECONOMIC

CHAPTER 10: LINEAR DISCRIMINATION

Chapter Simpson s 1/3 Rule of Integration. ( x)

On Fractional Operational Calculus pertaining to the product of H- functions

Multiple Target Tracking With a 2-D Radar Using the JPDAF Algorithm and Combined Motion Model

A. Inventory model. Why are we interested in it? What do we really study in such cases.

LAPLACE TRANSFORMS. 1. Basic transforms

Comb Filters. Comb Filters

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Research Article The General Solution of Impulsive Systems with Caputo-Hadamard Fractional Derivative of Order

Hidden Markov Model. a ij. Observation : O1,O2,... States in time : q1, q2,... All states : s1, s2,..., sn

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

ANALYTIC SOLUTION OF QUARTIC AND CUBIC POLYNOMIALS. A J Helou, BCE, M.Sc., Ph.D. August 1995

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

Query Data With Fuzzy Information In Object- Oriented Databases An Approach The Semantic Neighborhood Of Hedge Algebras

Solutions to assignment 3

is the cut off frequency in rads.

district department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS

Applied Statistics Qualifier Examination

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CSC 373: Algorithm Design and Analysis Lecture 9

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

RL for Large State Spaces: Policy Gradient. Alan Fern

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

Chapter 2 Organizing and Summarizing Data. Chapter 3 Numerically Summarizing Data. Chapter 4 Describing the Relation between Two Variables

Obtaining the Optimal Order Quantities Through Asymptotic Distributions of the Stockout Duration and Demand

Chebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations

Chapters 2 Kinematics. Position, Distance, Displacement

The Covenant Renewed. Family Journal Page. creation; He tells us in the Bible.)

Computational results on new staff scheduling benchmark instances

Research on Flexibility of Financial Management of High-tech Enterprises

Physics 201 Lecture 2

P a g e 5 1 of R e p o r t P B 4 / 0 9

Rotations.

6 Random Errors in Chemical Analysis

Transcription:

for Cuomed Ahmen of Hp Deve Mno KOEDA nd Mhko KAO Deprmen of Compuer Sene Ful of Informon Sene nd Ar Ok Elero-Communon Unver Kok 30-70, Shjonwe, Ok, 575-0063, JAPA {koed, 0809@oeu.jp} Ar In h pper, mehod for emng he pen p poon of uomed hp deve hmen preened. Le qure phere fng ppled o he qured pon loud d o eme he rdu nd ener of phere. Verfon epermen were ondued nd he epermenl reul how h he propoed mehod h reonle ur. Inroduon Convenonll, denl model [] re ued o mpr hnd kll eduon o denl uden; however, h mehod no lw effeve. Denl pen roo h mule rel humn moon hve een developed [, 3]. However, hee roo re rrel nrodued n eduon eue of her hgh o nd dfful mnenne. We hve een developng HAP-DE [4], ompuered denl rnng mulor Fg.. he developed mulor ue omnon of vrul rel nd hp. A ule omnon of vrul nd rel pe would enle effeve hnd kll eduon for denl uden. Operor wh Hed rker Vrul eeh PC Monor Hlf Mrror Comned Imge Cuomed Ahmen eeh Model Hp Deve Fg.. Sem Overvew of HAP-DE

Mno KOEDA nd Mhko KAO Den ue dfferen ool o perform dfferen denl operon, uh drll for grndng or ler for removng denl lulu Fg.. o uld mulor h ree hgh degree of relm, neer o prepre uomed hmen Fg. 3 h hve he me hpe rel denl ool. Addonll, for mulon, neer h he poon of he p of he hmen hould e known. In h pper, we propoe mehod for emng he pen p poon of uomed hp deve hmen. We hve uded lron mehod for mulple hp deve [5]; however, he p poon w hrd-oded n he mehod. he propoed mehod eme he p poon fng he qured pon loud d o phere ung he le qure pproh. Emon Mehod Ung Le Squre Sphere Fng he p of uomed hp deve hmen mnned ern poon, nd he hmen mnpuled n vrou dreon o on pherll rrnged poonng d e. he rdu nd ener of he phere n e emed fng he pon loud d o phere he le qure pproh. he emed rdu equl o he lengh eween he p nd deful orgn pon. Grndng Slng Prong d Rdeom Fg.. pl denl k Deful lu Cuomed hmen Fg. 3. Cuomed hmen for denl mulor

for Cuomed Ahmen of Hp Deve 3 Fg. 4 llure he oordnon em. he qured -pon loud d re defned p L. he ener nd rdu of he phere,,, nd r p, repevel, re luled he followng equon [ ] d r 4 where,,, nd d re gven d Epermen nd Reul he epermenl eup on of hp deve {Phnom Omn [6] Fg. 4}, uomed hmen Fg. 5, nd mell lron lok Fg. 6. he lengh of he uomed hmen, meured ung ruler, ppromel 3 [mm]. welve mll dmple A-L, 0 [mm] nervl were pled on he urfe of he lron lok. hee dmple were ued o ur p movemen durng pon-d quon. p p p p Aul meured vlue 3 [mm] Aul meured vlue 3 [mm] Fg. 4. Coordnon em Fg. 5. Cuomed hmen

4 Mno KOEDA nd Mhko KAO 0 [mm] 0 [mm] 0 [mm] 0 [mm] A 0 [mm] B C E D F I G J H K L Overvew welve mll dmple on urfe Fg. 6. Clron lok Fg. 7. Snpho of d quon proe Fg. 8. Smple of qured pon loud d le. Epermenl reul Meuremen Pon A B C D Lengh [mm].8 0.4 3.0 3.7 Meuremen Pon E F G H Lengh [mm] 3.3 3.7.6.8 Meuremen Pon I J K L Lengh [mm].5..3.7

for Cuomed Ahmen of Hp Deve 5 Lengh [mm] 5 4 3 0 09 08 07 06 05 A B C D E F G H I J K L Meuremen Pon Fg. 9. Epermenl reul Fg. 7 how npho of he epermenon. Pon loud d 000 were qured eh dmple, nd he rdu of he phere w emed ung he propoed mehod. Fg. 8 how mple pon loud d, nd n e een h he pon re pherll rrnged. he reul of he rdu emon epermen re led n le nd Fg. 9. he emed verge rdu.3 [mm], nd h vlue loe o he meured lengh of he uomed hmen. Conluon In h pper, mehod for emng he pen p poon of uomed hp deve hmen w propoed. he propoed mehod w verfed ung uomed hmen, whh modeled grndng drll. I w found h he error w le hn 3% nd h he propoed mehod h reonle ur. Referene. ISSI DEAL PRODUCS IC., SIMPLE MAIKI II: hp://www.nndenl.ne/produ/denlrnngprodu/denlsmulor/mplemnnequn/nde.hml. S. UZUKA e l., Developmen of Pen Smulon Sem: Applon for Clnl Eduon, he IADR/AADR/CADR 85 h Generl Seon nd Ehon, 007. 3. H. AKAOBU e l., Denl Pen Roo, In Proeedng of IEEE/RSJ Inernonl Conferene on Inellgen Roo nd Sem, pp. 73-78, 006. 4. S. YAMAGUCHI e l. Denl Hp Smulor o rn Hnd Skll of Suden, In Proeedng of he 3 rd MEI Inernonl Smpoum, p.43, 008. 5. M. KOEDA e l. Emon Mehod for Relve Poon nd Aude Beween wo Hp Deve, In Proeedng of h Inernonl Conferene on Humn-Compuer Ineron, pp.446-450, 007. 6. SESABLE ECHOLOGIES, IC., Phnom Omn: hp://www.enle.om/hpphnom-omn.hm