Introduction to Robotics Lecture II Alfred Bruckstein Yaniv Altshuler.

Slides:



Advertisements
Similar presentations
Robot Modeling and the Forward Kinematic Solution
Advertisements

Robot Modeling and the Forward Kinematic Solution
Outline: Introduction Link Description Link-Connection Description
Links and Joints.
Manipulator’s Inverse kinematics
University of Bridgeport
Denavit-Hartenberg Convention
Kinematic Modelling in Robotics
Kinematics – Frame Assignment using Denavit-Hartenberg Convention
Kinematics Pose (position and orientation) of a Rigid Body
Forward Kinematics. Focus on links chains May be combined in a tree structure Degrees of Freedom Number of independent position variables (i.e. joints.
The City College of New York 1 Dr. Jizhong Xiao Department of Electrical Engineering City College of New York Kinematics of Robot Manipulator.
Introduction to Robotics
Introduction to Robotics Kinematics. Link Description.
Ch. 3: Forward and Inverse Kinematics
Ch. 4: Velocity Kinematics
Ch. 3: Forward and Inverse Kinematics
Introduction to ROBOTICS
Rotations and Translations. Representing a Point 3D A tri-dimensional point A is a reference coordinate system here.
Serial and Parallel Manipulators
Introduction to ROBOTICS
Inverse Kinematics Jacobian Matrix Trajectory Planning
Screw Rotation and Other Rotational Forms
Direct Kinematics.
An Introduction to Robot Kinematics
KINEMATICS ANALYSIS OF ROBOTS (Part 1) ENG4406 ROBOTICS AND MACHINE VISION PART 2 LECTURE 8.
More details and examples on robot arms and kinematics
CS 450: COMPUTER GRAPHICS 3D TRANSFORMATIONS SPRING 2015 DR. MICHAEL J. REALE.
ME/ECE Professor N. J. Ferrier Forward Kinematics Professor Nicola Ferrier ME Room 2246,
KINEMATIC CHAINS AND ROBOTS (III). Many robots can be viewed as an open kinematic chains. This lecture continues the discussion on the analysis of kinematic.
Advanced Graphics (and Animation) Spring 2002
Feb 17, 2002Robotics 1 Copyright Martin P. Aalund, Ph.D. Kinematics Kinematics is the science of motion without regard to forces. We study the position,
Kinematics of Robot Manipulator
Chapter 2 Robot Kinematics: Position Analysis
Rotations and Translations 1. Mathematical terms The inner product of 2 vectors a,b is defined as: The cross product of 2 vectors is defined as: A unit.
T. Bajd, M. Mihelj, J. Lenarčič, A. Stanovnik, M. Munih, Robotics, Springer, 2010 GEOMETRIC DESCRIPTION OF THE ROBOT MECHANISM T. Bajd and M. Mihelj.
Manipulator’s Forward kinematics
Kinematics Jehee Lee Seoul National University. Kinematics How to animate skeletons (articulated figures) Kinematics is the study of motion without regard.
SCARA – Forward Kinematics
11/10/2015Handout 41 Robotics kinematics: D-H Approach.
What is Kinematics. Kinematics studies the motion of bodies.
Kinematics. The function of a robot is to manipulate objects in its workspace. To manipulate objects means to cause them to move in a desired way (as.
MT411 Robotic Engineering
Chapter 2: Description of position and orientation Faculty of Engineering - Mechanical Engineering Department ROBOTICS Outline: Introduction. Descriptions:
The Forward Kinematics of Manipulators Sebastian van Delden USC Upstate
Euler Angles This means, that we can represent an orientation with 3 numbers Assuming we limit ourselves to 3 rotations without successive rotations about.
Forward Kinematics Where is my hand ?. Examples Denavit-Hartenberg Specialized description of articulated figures (joints) Each joint has only one degree.
COMP322/S2000/L81 Direct Kinematics- Link Coordinates Questions: How do we assign frames? At the Joints? At the Links? Denavit-Hartenberg (D-H) Representation.
End effector End effector - the last coordinate system of figure Located in joint N. But usually, we want to specify it in base coordinates. 1.
Manipulator Kinematics Treatment of motion without regard to the forces that cause it. Contents of lecture: vResume vDirect kinematics vDenavit-Hartenberg.
Robotics Chapter 3 – Forward Kinematics
Velocity Propagation Between Robot Links 3/4 Instructor: Jacob Rosen Advanced Robotic - MAE 263D - Department of Mechanical & Aerospace Engineering - UCLA.
Kinematics 제어시스템 이론 및 실습 조현우
Denavit-Hartenberg Convention
Spatcial Description & Transformation
Denavit-Hartenberg Convention
F o r w a r d K i n e m a t i c s.
Direct Manipulator Kinematics
Introduction to Robotics Tutorial II
CHAPTER 2 FORWARD KINEMATIC 1.
Direct Kinematic Model
Mobile Robot Kinematics
Homogeneous Transformation Matrices
Chap 11 – Case Studies.
Robotics kinematics: D-H Approach
Computer Graphics Lecture 36 CURVES II Taqdees A. Siddiqi
Robot Kinematics We know that a set of “joint angles” can be used to locate and orientate the hand in 3-D space We know that the joint angles can be combined.
PROBLEM SET 6 1. What is the Jacobian for translational velocities of point “P” for the following robot? X0 Y0 Y1 X1, Y2 X2 X3 Y3 P 1 What is the velocity.
Chapter 2 Mathematical Analysis for Kinematics
Screw Rotation and Other Rotational Forms
Presentation transcript:

Introduction to Robotics Lecture II Alfred Bruckstein Yaniv Altshuler

Denavit-Hartenberg Specialized description of articulated figures Each joint has only one degree of freedom rotate around its z-axis translate along its z-axis

Denavit-Hartenberg One degree of freedom : very compact notation Only four parameters to describe a relation between two links : link length link twist link offset link rotation

Denavit-Hartenberg Link length a i The perpendicular distance between the axes of joint i and joint i+1

Link twist α i The angle between the axes of joint i and joint i+1 Angle around x i -axis Denavit-Hartenberg

Link offset d i The distance between the origins of the coordinate frames attached to joint i and joint i+1 Measured along the axis of joint i Denavit-Hartenberg

Link rotation (joint angle) φ i The angle between the link lenghts α i-1 and α i Angle around z i -axis Denavit-Hartenberg

1. Compute the link vector a i and the link length 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i How to compute the parameters to describe an articulated figure :

Denavit-Hartenberg 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg 1. Compute the link vector a i and the link length 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1 Let’s do it step by step

Denavit-Hartenberg The link length a i is the shortest distance between the joint axes joint i and joint i+1. Let the joint axes be given by the expression : Where p i is a point on axis of joint i and u i is one of its direction vectors (analogous for joint i+1 ).

Denavit-Hartenberg

There are three methods to compute the link vector a i and the link length

Denavit-Hartenberg The shortest distance a i is the length of the vector connecting the two axes, and perpendicular to both of them. Which can be expressed : Method 1 : The Pseudo-naive approach

Denavit-Hartenberg Let’s find the points o i and o ai where this distance exists.

Denavit-Hartenberg We can go some distance s from p i along axis i, and then the distance a i along the unit vector and finally some distance t along axis i+1 to arrive at point p i+1.

Denavit-Hartenberg Multiplying respectively by u i and u i+1, we obtain the two following equations:

Denavit-Hartenberg Solution :

Denavit-Hartenberg Finally, using and we obtain :

Denavit-Hartenberg We can go some distance s from point p i along the axis i, and then go some distance k along u i x u i+1. Finally go some distance t along the axis i+1 to arrive at point p i+1. The vector u i x u i+1 gives the perpendicular vector to both axes. Let’s find out where it is located on the joint axes. Method 2 : The Geometric approach

Denavit-Hartenberg We obtain the equation : There are three unknowns.

Denavit-Hartenberg Let’s first eliminate the unknown k from the equation : by multiplying by u i :

Denavit-Hartenberg by multiplying by u i+1 : Let’s first eliminate the unknown k from the equation :

Denavit-Hartenberg by multiplying by u i x u i+1 : Now we shall eliminate the s and t from the equation :

Denavit-Hartenberg We have obtained a system of three equations in the unknowns s, t, k :

Denavit-Hartenberg From, it can be seen that the shortest distance between joint i and joint i+1 is given by the vector : Where

Denavit-Hartenberg From and, we can compute s and t :

Denavit-Hartenberg Finally, using and we obtain :

Denavit-Hartenberg The distance between two arbitrary points located on the joint axes joint i and joint i+1 is : Method 3 : The Analytic approach

Denavit-Hartenberg The link length of link i, a i, is the minimum distance between the joint axes :

Denavit-Hartenberg A necessary condition is :

Denavit-Hartenberg Which is equivalent to their numerators being equal to 0 :

Denavit-Hartenberg Rewriting this system yields :

Denavit-Hartenberg Whose solution are :

Denavit-Hartenberg Finally, using and we obtain :

Denavit-Hartenberg o i and o ai are the closest points on the axes of joint i and joint i+1. We deduce that the link vector a i and the link length a i :

Denavit-Hartenberg The link vector a i :

Denavit-Hartenberg Calculating the scalar products and, both equal to 0, proves that the vector a i is perpendicular to both axes of joint i and joint i+1

Denavit-Hartenberg Three methods How do we actually compute a i and ||ai|| 2 ?

Denavit-Hartenberg The link vector a i is perpendicular to both of the axes of joint i and joint i+1. The unit vector : is parallel to the link vector a i.

Denavit-Hartenberg Given two points p i and p i+1 on the axes of joint i and joint i+1, the link length can be computed as : And the link vector :

Denavit-Hartenberg Special cases : The joint axes intersect The shortest distance a i is equal to zero The link vector is the null vector

Denavit-Hartenberg The joint axes are parallel There is no unique shortest distance o i can be chosen arbitrarily, so we should chose values that offset the most of Denavit-Hartenberg parameters

Denavit-Hartenberg The first joint There is no link preceding it We use a base link : link 0 Its link frame should coincide with the link frame of link 1 Most of the Denavit-Hartenberg parameters will be equal to zero

Denavit-Hartenberg The last joint There is no link succeding it We use arbitrary values so that most of Denavit-Hartenberg parameters are equal to zero

Denavit-Hartenberg 1. Compute the link vector a i and the link lenght 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg Identify the joint axes Identify the common perpendiculars of successive joint axes Attach coordinate frames to each joint axes

Denavit-Hartenberg Identifying the joint axes

Denavit-Hartenberg Remember, is the point where the shortest distance to joint i+1 exists Identifying the common perpendiculars

Denavit-Hartenberg the origin Attaching the frames

Denavit-Hartenberg 1. Compute the link vector a i and the link lenght 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg Remember

Denavit-Hartenberg Let’s define the function

Denavit-Hartenberg We then have :

Denavit-Hartenberg 1. Compute the link vector a i and the link lenght 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg

1. Compute the link vector a i and the link lenght 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg

1. Compute the link vector a i and the link lenght 2. Attach coordinate frames to the joint axes 3. Compute the link twist α i 4. Compute the link offset d i 5. Compute the joint angle φ i 6. Compute the transformation (i-1) T i which transforms entities from link i to link i-1

Denavit-Hartenberg This transformation is done in several steps : Rotate the link twist angle α i-1 around the axis x i Translate the link length a i-1 along the axis x i Translate the link offset d i along the axis z i Rotate the joint angle φ i around the axis z i

Denavit-Hartenberg

Multiplying the matrices :

Denavit-Hartenberg By specifying the transformation for all joints we can specify a transformation form link N to the base link 0 : Let’s denote the joint parameters of joint i. We obtain :

End effector End effector - the last coordinate system of figure Located in joint N. But usually, we want to specify it in base coordinates.

End effector A transformation from the link N to the base :

End effector We can also express it as three rotations (around each of the coordinate axes) followed by a translation How can we establish a relation with the other expression ?

End effector Location The origin of a coordinate frame relative to some base coordinate frame is specified by the translation :

End effector Orientation Any 3D orientation relative to some base coordinate frame can be specified by : three rotations, one around each of the coordinate axes.

End effector Orientation These rotations are named roll, pitch, yaw We do them in this order : around x, y, z.

End effector Orientation The yaw transformation can be expressed :

End effector Orientation The pitch transformation can be expressed :

End effector Orientation The roll transformation can be expressed :

End effector Orientation The roll, pitch and yaw transformation is then expressed :

End effector Finally, the transformation from a coordinate frame to the base frame is expressed :

End effector Remember that can be expressed as a 4x4 matrix with elements m ij - functions of joint parameters θ 1,...,θ N. Let’s omit them for readability :

End effector As the two transformations and do the same thing :

End effector We obtain directly the translation vector :

End effector We can obtain the yaw angle : Because : arctan is π-periodic. Let’s use our function arctan 2 to get the right angle.

End effector Knowing the yaw angle, we can obtain the pitch angle : Because : Again, let’s use our function arctan 2 :

End effector We can obtain the roll angle : Because : Again, let’s use our function arctan 2 :

End effector Let’s define the state vector

End effector As previously shown, The state vector is composed of elements of this matrix. It’s also a function of joint parameters :