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Compare the forward kinematics of a nonholonomic robot to those of a holonomic robot.

Compare the forward kinematics of a nonholonomic robot to those of a holonomic robot.

Compare the forward kinematics of a nonholonomic robot to those of a holonomic robot. Note that our textbook Craig will provide a very useful and general way to develop the forward kinematics of a Holonomic robot. E P A P Recall, that a holonomic robot will (kinematically) “repeat”.

By jana
(424 views)

Introduction to Economic Fluctuations

Introduction to Economic Fluctuations

9 Introduction to Economic Fluctuations In this chapter, you will learn: facts about the business cycle how the short run differs from the long run an introduction to aggregate demand an introduction to aggregate supply in the short run and long run

By Mia_John
(295 views)

The Role of the Teacher in Purposeful Learning

The Role of the Teacher in Purposeful Learning

The Role of the Teacher in Purposeful Learning. Clarifying Objectives. Setting realistic goals Identification and clarification of associated objectives: knowledge skills dispositions. Motivating Students. manipulating materials and activities to arouse interest

By issac
(181 views)

Stock-based compensation

Stock-based compensation

Stock-based compensation. Under ASC 718 (formerly SFAS No. 123R) Prepared by Teresa Gordon . 1. 1. 1. 1. 1. 1. 1. Two kinds of option plans. Noncompensatory Compensatory Classified as Liability or Equity See chart on next slide. Non-Compensatory Plans.

By Gabriel
(461 views)

Newton’s Second Law of Motion

Newton’s Second Law of Motion

Newton’s Second Law of Motion. Forces: Recap. Force: a push or a pull on an object; the result of an interaction between two objects Units: newtons (N) Types of forces: Gravity (F grav ) Friction (F fric ) Tension (F ten ) Normal Force (F norm ) Applied Force (F app )

By Olivia
(312 views)

Describing Quantitative Data - Histograms

Describing Quantitative Data - Histograms

Describing Quantitative Data - Histograms. Recall that quantitative data measures a characteristic. These measurements may result in a few distinct values (number of siblings) or in many distinct values (commute times).

By base
(324 views)

Differentiability for Functions of Two Variables

Differentiability for Functions of Two Variables

Differentiability for Functions of Two Variables. Local Linearity. Recall that when we zoom in on a “sufficiently nice” function of two variables, we see a plane. What is meant by “sufficiently nice”?.

By lorie
(506 views)

Difference Between the Means of Two Populations

Difference Between the Means of Two Populations

Difference Between the Means of Two Populations . We have be studying inference methods for a single variable. When the variable was quantitative we had inference for the population mean. When the variable was qualitative we had inference for the population proportion.

By audi
(242 views)

Chapter 5

Chapter 5

Chapter 5 . Discrete Random Variables Two Types of Random Variables Discrete Probability Distributions The Binomial Distribution. Random Variables. A random variable is a numerical description of the outcome of an experiment.

By analiese
(319 views)

Pharmaceutical Quality Control & current Good Manufacturing Practice

Pharmaceutical Quality Control & current Good Manufacturing Practice

Pharmaceutical Quality Control & current Good Manufacturing Practice. PHT 436 Lecture 10. Complaint and recall. Title 21: Food and Drugs. Code of Federal Regulations. Chapter I: Food and drug administration department of health and human services. Subchapter A: Drugs General.

By bob
(119 views)

PSY 369: Psycholinguistics

PSY 369: Psycholinguistics

PSY 369: Psycholinguistics. Cognitive Psychology. Cognitive Psychology. It is the body of psychological experimentation that deals with issues of human memory, language use, problem solving, decision making, and reasoning.

By zada
(186 views)

Rescorla-Wagner Model

Rescorla-Wagner Model

Rescorla-Wagner Model. US-processing model. Can account for some Pavlovian Conditioning phenomena:. acquisition. blocking. unblocking with an upshift. conditioned inhibition. US-pre-exposure effect. Cannot account for some Pavlovian Conditioning phenomena:.

By savanna
(1383 views)

Orbitals and Electron configurations

Orbitals and Electron configurations

Orbitals and Electron configurations . Pauli Exclusion Principle. Reference: pg. 203 The Pauli Exclusion Principle states that each electron (waveform) has a unique set of quantum numbers No two electrons can have the same values for all quantum numbers

By mio
(197 views)

Introduction to Economic Fluctuations

Introduction to Economic Fluctuations

9. Introduction to Economic Fluctuations. In this chapter, you will learn:. facts about the business cycle how the short run differs from the long run an introduction to aggregate demand an introduction to aggregate supply in the short run and long run

By luyu
(193 views)

Information Extraction Lecture 3 – Rule-based Named Entity Recognition

Information Extraction Lecture 3 – Rule-based Named Entity Recognition

Information Extraction Lecture 3 – Rule-based Named Entity Recognition. CIS, LMU München Winter Semester 2018-2019 Prof. Dr . Alexander Fraser, CIS. Administravia. Seminar The seminar today and tomorrow is just office hours

By candra
(292 views)

The proof is quite similar to that of a previous result: a compact subspace of a Hausdorff is closed.

The proof is quite similar to that of a previous result: a compact subspace of a Hausdorff is closed.

Theorem: If topological X t space is compact and Hausdorff, then X t is normal. The proof is quite similar to that of a previous result: a compact subspace of a Hausdorff is closed.

By jerica
(153 views)

Section 16.7 Surface Integrals

Section 16.7 Surface Integrals

Section 16.7 Surface Integrals. Surface Integrals. We now consider integrating functions over a surface S that lies above some plane region D. Surface Integrals. Let’s suppose the surface S is described by z=g(x,y) and we are considering a function f(x,y,z) defined on S.

By nan
(225 views)

Kalman Smoothing

Kalman Smoothing

Kalman Smoothing. Jur van den Berg. Kalman Filtering vs. Smoothing. Dynamics and Observation model Kalman Filter: Compute Real-time, given data so far Kalman Smoother: Compute Post-processing, given all data. Kalman Filtering Recap. Time update Measurement update:

By axl
(197 views)

Least Squares Regression

Least Squares Regression

Least Squares Regression. Fitting a Line to Bivariate Data. Correlation tells us about strength (scatter) and direction of the linear relationship between two quantitative variables.

By ashby
(348 views)

Naming Hydrocarbons

Naming Hydrocarbons

Naming Hydrocarbons. The following four IUPAC rules are applied in naming the branched-chain alkanes. Determine the longest continuous (not necessarily straight) chain of carbon atoms. The base name corresponds to the number of carbon atoms in the longest chain. (see Table 24.5)

By helmut
(501 views)

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