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Chapter 2
Robot Kinematics: Position Analysis
2.1 INTRODUCTION
Forward Kinematics:
to determine where the robot’s hand is?
(If all joint variables are known)
Inverse Kinematics:
to calculate what each joint variable is?
(If we desire that the hand be
located at a particular point)
Chapter 2
Robot Kinematics: Position Analysis
2.2 ROBOTS AS MECHANISM
Fig. 2.1 A one-degree-of-freedom closed-loop
four-bar mechanism
Multiple type robot have multiple DOF.
(3 Dimensional, open loop, chain mechanisms)
Fig. 2.2 (a) Closed-loop versus (b) open-loop mechanism
Chapter 2
Robot Kinematics: Position Analysis
2.3 MATRIX REPRESENTATION
2.3.1 Representation of a Point in Space
Fig. 2.3 Representation of a point in space
A point P in space :
3 coordinates relative to a reference frame
^
^
^
k
c
j
b
i
a
P z
y
x 


Chapter 2
Robot Kinematics: Position Analysis
2.3 MATRIX REPRESENTATION
2.3.2 Representation of a Vector in Space
Fig. 2.4 Representation of a vector in space
A Vector P in space :
3 coordinates of its tail and of its head
^
^
^
__
k
c
j
b
i
a
P z
y
x 















w
z
y
x
P
__
Chapter 2
Robot Kinematics: Position Analysis
2.3 MATRIX REPRESENTATION
2.3.3 Representation of a Frame at the Origin of a Fixed-Reference Frame
Fig. 2.5 Representation of a frame at the origin of the reference frame
Each Unit Vector is mutually perpendicular. :
normal, orientation, approach vector











z
z
z
y
y
y
x
x
x
a
o
n
a
o
n
a
o
n
F
Chapter 2
Robot Kinematics: Position Analysis
2.3 MATRIX REPRESENTATION
2.3.4 Representation of a Frame in a Fixed Reference Frame
Fig. 2.6 Representation of a frame in a frame
Each Unit Vector is mutually perpendicular. :
normal, orientation, approach vector













1
0
0
0
z
z
z
z
y
y
y
y
x
x
x
x
P
a
o
n
P
a
o
n
P
a
o
n
F
Chapter 2
Robot Kinematics: Position Analysis
2.3 MATRIX REPRESENTATION
2.3.5 Representation of a Rigid Body
Fig. 2.8 Representation of an object in space
An object can be represented in space by attaching a frame
to it and representing the frame in space.













1
0
0
0
z
z
z
z
y
y
y
y
x
x
x
x
object
P
a
o
n
P
a
o
n
P
a
o
n
F
Chapter 2
Robot Kinematics: Position Analysis
2.4 HOMOGENEOUS TRANSFORMATION MATRICES
A transformation matrices must be in square form.
• It is much easier to calculate the inverse of square matrices.
• To multiply two matrices, their dimensions must match.













1
0
0
0
z
z
z
z
y
y
y
y
x
x
x
x
P
a
o
n
P
a
o
n
P
a
o
n
F
Chapter 2
Robot Kinematics: Position Analysis
2.5 REPRESENTATION OF TRANSFORMATINS
2.5.1 Representation of a Pure Translation
Fig. 2.9 Representation of an pure translation in space
A transformation is defined as making a movement in space.
• A pure translation.
• A pure rotation about an axis.
• A combination of translation or rotations.













1
0
0
0
1
0
0
0
1
0
0
0
1
z
y
x
d
d
d
T
Chapter 2
Robot Kinematics: Position Analysis
2.5 REPRESENTATION OF TRANSFORMATINS
2.5.2 Representation of a Pure Rotation about an Axis
Fig. 2.10 Coordinates of a point in a rotating
frame before and after rotation.
Assumption : The frame is at the origin of the reference frame and parallel to it.
Fig. 2.11 Coordinates of a point relative to the reference
frame and rotating frame as viewed from the x-axis.
Chapter 2
Robot Kinematics: Position Analysis
2.5 REPRESENTATION OF TRANSFORMATINS
2.5.3 Representation of Combined Transformations
Fig. 2.13 Effects of three successive transformations
A number of successive translations and rotations….
Fig. 2.14 Changing the order of transformations will
change the final result
Chapter 2
Robot Kinematics: Position Analysis
2.5 REPRESENTATION OF TRANSFORMATINS
2.5.5 Transformations Relative to the Rotating Frame
Fig. 2.15 Transformations relative to the current frames.
Example 2.8
Chapter 2
Robot Kinematics: Position Analysis
2.6 INVERSE OF TRANSFORMATION MATIRICES
Fig. 2.16 The Universe, robot, hand, part, and end effecter frames.
Inverse of a matrix calculation steps :
• Calculate the determinant of the matrix.
• Transpose the matrix.
• Replace each element of the transposed matrix by its own minor(adjoint matrix).
• Divide the converted matrix by the determinant.
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
Fig. 2.17 The hand frame of the robot relative to the reference frame.
Forward Kinematics Analysis:
• Calculating the position and orientation of the hand of the robot.
• If all robot joint variables are known, one can calculate where the robot is
at any instant.
• Recall Chapter 1.
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.1 Forward and Inverse Kinematics Equations for Position
Forward Kinematics and Inverse Kinematics equation for position analysis :
(a) Cartesian (gantry, rectangular) coordinates.
(b) Cylindrical coordinates.
(c) Spherical coordinates.
(d) Articulated (anthropomorphic, or all-revolute) coordinates.
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.1 Forward and Inverse Kinematics Equations for Position
2.7.1(a) Cartesian (Gantry, Rectangular) Coordinates
IBM 7565 robot
• All actuator is linear.
• A gantry robot is a Cartesian robot.
Fig. 2.18 Cartesian Coordinates.














1
0
0
0
1
0
0
0
1
0
0
0
1
z
y
x
cart
P
R
P
P
P
T
T
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.1 Forward and Inverse Kinematics Equations for Position
2.7.1(b) Cylindrical Coordinates
2 Linear translations and 1 rotation
• translation of r along the x-axis
• rotation of  about the z-axis
• translation of l along the z-axis
Fig. 2.19 Cylindrical Coordinates.











 


1
0
0
0
1
0
0
0
0
l
rS
C
S
rC
S
C
T
T cyl
P
R 





,0,0)
)Trans(
,
)Rot(
Trans(0,0,
)
,
,
( r
z
l
l
r
T
T cyl
P
R

 

Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.1 Forward and Inverse Kinematics Equations for Position
2.7.1(c) Spherical Coordinates
2 Linear translations and 1 rotation
• translation of r along the z-axis
• rotation of  about the y-axis
• rotation of  along the z-axis
Fig. 2.20 Spherical Coordinates.






















1
0
0
0
0 
















rC
C
S
S
rS
S
S
C
S
C
C
rS
C
S
S
C
C
T
T sph
P
R
)
)Trans(
)Rot(
Rot(
)
( 0,0,
,
,
,
, 


 y
z
l
r
sph
P
R
T
T 

Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.1 Forward and Inverse Kinematics Equations for Position
2.7.1(d) Articulated Coordinates
3 rotations -> Denavit-Hartenberg representation
Fig. 2.21 Articulated Coordinates.
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.2 Forward and Inverse Kinematics Equations for Orientation
 Roll, Pitch, Yaw (RPY) angles
 Euler angles
 Articulated joints
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.2 Forward and Inverse Kinematics Equations for Orientation
2.7.2(a) Roll, Pitch, Yaw(RPY) Angles
Roll: Rotation of about -axis (z-axis of the moving frame)
Pitch: Rotation of about -axis (y-axis of the moving frame)
Yaw: Rotation of about -axis (x-axis of the moving frame)
a
a

o

n

o
n
Fig. 2.22 RPY rotations about the current axes.
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.2 Forward and Inverse Kinematics Equations for Orientation
2.7.2(b) Euler Angles
Fig. 2.24 Euler rotations about the current axes.
Rotation of about -axis (z-axis of the moving frame) followed by
Rotation of about -axis (y-axis of the moving frame) followed by
Rotation of about -axis (z-axis of the moving frame).
a



o
a
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.2 Forward and Inverse Kinematics Equations for Orientation
2.7.2(c) Articulated Joints
Consult again section 2.7.1(d)…….
Chapter 2
Robot Kinematics: Position Analysis
2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS
2.7.3 Forward and Inverse Kinematics Equations for Orientation
)
(
)
( ,
,
,
, n
o
a
z
y
x
cart
H
R
RPY
P
P
P
T
T 




)
(
)
( ,
,
,
, 


 
Euler
T
T r
sph
H
R


 Assumption : Robot is made of a Cartesian and an RPY set of joints.
 Assumption : Robot is made of a Spherical Coordinate and an Euler angle.
Another Combination can be possible……
Denavit-Hartenberg Representation
Chapter 2
Robot Kinematics: Position Analysis
2.8 DENAVIT-HARTENBERG REPRESENTATION OF
FORWARD KINEMATIC EQUATIONS OF ROBOT
 Denavit-Hartenberg Representation :
Fig. 2.25 A D-H representation of a general-purpose joint-link combination
@ Simple way of modeling robot links and
joints for any robot configuration,
regardless of its sequence or complexity.
@ Transformations in any coordinates
is possible.
@ Any possible combinations of joints
and links and all-revolute articulated
robots can be represented.
Chapter 2
Robot Kinematics: Position Analysis
2.8 DENAVIT-HARTENBERG REPRESENTATION OF
FORWARD KINEMATIC EQUATIONS OF ROBOT
 Denavit-Hartenberg Representation procedures:
Start point:
Assign joint number n to the first shown joint.
Assign a local reference frame for each and every joint before or
after these joints.
Y-axis does not used in D-H representation.
Chapter 2
Robot Kinematics: Position Analysis
2.8 DENAVIT-HARTENBERG REPRESENTATION OF
FORWARD KINEMATIC EQUATIONS OF ROBOT
 Procedures for assigning a local reference frame to each joint:
‫٭‬ All joints are represented by a z-axis.
(right-hand rule for rotational joint, linear movement for prismatic joint)
‫٭‬ The common normal is one line mutually perpendicular to any two
skew lines.
‫٭‬ Parallel z-axes joints make a infinite number of common normal.
‫٭‬ Intersecting z-axes of two successive joints make no common
normal between them(Length is 0.).
Chapter 2
Robot Kinematics: Position Analysis
2.8 DENAVIT-HARTENBERG REPRESENTATION OF
FORWARD KINEMATIC EQUATIONS OF ROBOT
 Symbol Terminologies :
⊙  : A rotation about the z-axis.
⊙ d : The distance on the z-axis.
⊙ a : The length of each common normal (Joint offset).
⊙  : The angle between two successive z-axes (Joint twist)
 Only  and d are joint variables.
Chapter 2
Robot Kinematics: Position Analysis
2.8 DENAVIT-HARTENBERG REPRESENTATION OF
FORWARD KINEMATIC EQUATIONS OF ROBOT
 The necessary motions to transform from one reference
frame to the next.
(I) Rotate about the zn-axis an able of n+1. (Coplanar)
(II) Translate along zn-axis a distance of dn+1 to make xn and xn+1
colinear.
(III) Translate along the xn-axis a distance of an+1 to bring the origins
of xn+1 together.
(IV) Rotate zn-axis about xn+1 axis an angle of n+1 to align zn-axis
with zn+1-axis.
Chapter 2
Robot Kinematics: Position Analysis
2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT
 Determine the value of each joint to place the arm at a
desired position and orientation.
6
5
4
3
2
1 A
A
A
A
A
A
TH
R









































1
0
0
0
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
2
2
3
23
4
234
5
234
6
234
6
5
234
6
234
6
5
234
2
2
3
23
4
234
1
5
1
5
234
1
6
5
1
6
234
6
5
234
1
6
5
1
6
234
6
5
234
1
2
2
3
23
4
234
1
5
1
5
234
1
6
5
1
6
234
6
5
234
1
6
5
1
6
234
6
5
234
1
a
S
a
S
a
S
S
S
C
C
C
C
S
S
C
C
C
S
a
C
a
C
a
C
S
C
C
S
C
S
C
S
C
C
S
C
C
C
S
C
S
C
S
S
C
C
C
S
a
C
a
C
a
C
C
C
S
S
C
C
C
S
S
C
S
C
C
C
C
C
S
S
S
S
C
C
C
C













1
0
0
0
z
z
z
z
y
y
y
y
x
x
x
x
p
a
o
n
p
a
o
n
p
a
o
n
Chapter 2
Robot Kinematics: Position Analysis
2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT
6
5
4
3
2
1
1
1
1 ]
[
1
0
0
0
A
A
A
A
A
RHS
A
p
a
o
n
p
a
o
n
p
a
o
n
A
z
z
z
z
y
y
y
y
x
x
x
x














 

6
5
4
3
2
1
1
1
1
1
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
A
A
A
A
A
p
a
o
n
p
a
o
n
p
a
o
n
C
S
S
C
z
z
z
z
y
y
y
y
x
x
x
x



























Chapter 2
Robot Kinematics: Position Analysis
2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT








 
x
y
p
p
1
1 tan

)
(
)
)(
(
)
(
)
)(
(
tan
4
234
3
3
4
234
1
1
2
3
3
4
234
1
1
3
3
4
234
2
3
3
1
2
a
S
P
a
S
a
C
S
p
C
p
a
a
C
a
C
S
p
C
p
a
S
a
S
p
a
a
C
z
y
x
y
x
z










 







 
3
3
1
3 tan
C
S

3
2
234
4 


 


y
x
z
y
x
a
C
a
S
a
S
a
S
a
C
C
1
1
234
1
1
234
1
5
)
(
tan



 

z
y
x
z
y
x
o
C
o
S
o
C
S
n
S
n
S
n
C
S
234
1
1
234
234
1
1
234
1
6
)
(
)
(
tan






 

Chapter 2
Robot Kinematics: Position Analysis
2.10 INVERSE KINEMATIC PROGRAM OF ROBOTS
 A robot has a predictable path on a straight line,
 Or an unpredictable path on a straight line.
‫٭‬ A predictable path is necessary to recalculate joint variables.
(Between 50 to 200 times a second)
‫٭‬ To make the robot follow a straight line, it is necessary to break
the line into many small sections.
‫٭‬ All unnecessary computations should be eliminated.
Fig. 2.30 Small sections of movement for straight-line motions
Chapter 2
Robot Kinematics: Position Analysis
2.11 DEGENERACY AND DEXTERITY
Degeneracy : The robot looses a degree of freedom
and thus cannot perform as desired.
‫٭‬ When the robot’s joints reach their physical limits,
and as a result, cannot move any further.
‫٭‬ In the middle point of its workspace if the z-axes
of two similar joints becomes colinear.
Fig. 2.31 An example of a robot in a degenerate position.
Dexterity : The volume of points where one can
position the robot as desired, but not
orientate it.
Chapter 2
Robot Kinematics: Position Analysis
2.12 THE FUNDAMENTAL PROBLEM WITH D-H REPRESENTATION
Defect of D-H presentation : D-H cannot represent any motion about
the y-axis, because all motions are about the x- and z-axis.
Fig. 2.31 The frames of the Stanford Arm.
#  d a 
1 1 0 0 -90
2 2 d1
0 90
3 0 d1
0 0
4 4 0 0 -90
5 5 0 0 90
6 6 0 0 0
TABLE 2.3 THE PARAMETERS TABLE FOR THE
STANFORD ARM

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Chapter 2 - Robot Kinematics.ppt

  • 1. Chapter 2 Robot Kinematics: Position Analysis 2.1 INTRODUCTION Forward Kinematics: to determine where the robot’s hand is? (If all joint variables are known) Inverse Kinematics: to calculate what each joint variable is? (If we desire that the hand be located at a particular point)
  • 2. Chapter 2 Robot Kinematics: Position Analysis 2.2 ROBOTS AS MECHANISM Fig. 2.1 A one-degree-of-freedom closed-loop four-bar mechanism Multiple type robot have multiple DOF. (3 Dimensional, open loop, chain mechanisms) Fig. 2.2 (a) Closed-loop versus (b) open-loop mechanism
  • 3. Chapter 2 Robot Kinematics: Position Analysis 2.3 MATRIX REPRESENTATION 2.3.1 Representation of a Point in Space Fig. 2.3 Representation of a point in space A point P in space : 3 coordinates relative to a reference frame ^ ^ ^ k c j b i a P z y x   
  • 4. Chapter 2 Robot Kinematics: Position Analysis 2.3 MATRIX REPRESENTATION 2.3.2 Representation of a Vector in Space Fig. 2.4 Representation of a vector in space A Vector P in space : 3 coordinates of its tail and of its head ^ ^ ^ __ k c j b i a P z y x                 w z y x P __
  • 5. Chapter 2 Robot Kinematics: Position Analysis 2.3 MATRIX REPRESENTATION 2.3.3 Representation of a Frame at the Origin of a Fixed-Reference Frame Fig. 2.5 Representation of a frame at the origin of the reference frame Each Unit Vector is mutually perpendicular. : normal, orientation, approach vector            z z z y y y x x x a o n a o n a o n F
  • 6. Chapter 2 Robot Kinematics: Position Analysis 2.3 MATRIX REPRESENTATION 2.3.4 Representation of a Frame in a Fixed Reference Frame Fig. 2.6 Representation of a frame in a frame Each Unit Vector is mutually perpendicular. : normal, orientation, approach vector              1 0 0 0 z z z z y y y y x x x x P a o n P a o n P a o n F
  • 7. Chapter 2 Robot Kinematics: Position Analysis 2.3 MATRIX REPRESENTATION 2.3.5 Representation of a Rigid Body Fig. 2.8 Representation of an object in space An object can be represented in space by attaching a frame to it and representing the frame in space.              1 0 0 0 z z z z y y y y x x x x object P a o n P a o n P a o n F
  • 8. Chapter 2 Robot Kinematics: Position Analysis 2.4 HOMOGENEOUS TRANSFORMATION MATRICES A transformation matrices must be in square form. • It is much easier to calculate the inverse of square matrices. • To multiply two matrices, their dimensions must match.              1 0 0 0 z z z z y y y y x x x x P a o n P a o n P a o n F
  • 9. Chapter 2 Robot Kinematics: Position Analysis 2.5 REPRESENTATION OF TRANSFORMATINS 2.5.1 Representation of a Pure Translation Fig. 2.9 Representation of an pure translation in space A transformation is defined as making a movement in space. • A pure translation. • A pure rotation about an axis. • A combination of translation or rotations.              1 0 0 0 1 0 0 0 1 0 0 0 1 z y x d d d T
  • 10. Chapter 2 Robot Kinematics: Position Analysis 2.5 REPRESENTATION OF TRANSFORMATINS 2.5.2 Representation of a Pure Rotation about an Axis Fig. 2.10 Coordinates of a point in a rotating frame before and after rotation. Assumption : The frame is at the origin of the reference frame and parallel to it. Fig. 2.11 Coordinates of a point relative to the reference frame and rotating frame as viewed from the x-axis.
  • 11. Chapter 2 Robot Kinematics: Position Analysis 2.5 REPRESENTATION OF TRANSFORMATINS 2.5.3 Representation of Combined Transformations Fig. 2.13 Effects of three successive transformations A number of successive translations and rotations…. Fig. 2.14 Changing the order of transformations will change the final result
  • 12. Chapter 2 Robot Kinematics: Position Analysis 2.5 REPRESENTATION OF TRANSFORMATINS 2.5.5 Transformations Relative to the Rotating Frame Fig. 2.15 Transformations relative to the current frames. Example 2.8
  • 13. Chapter 2 Robot Kinematics: Position Analysis 2.6 INVERSE OF TRANSFORMATION MATIRICES Fig. 2.16 The Universe, robot, hand, part, and end effecter frames. Inverse of a matrix calculation steps : • Calculate the determinant of the matrix. • Transpose the matrix. • Replace each element of the transposed matrix by its own minor(adjoint matrix). • Divide the converted matrix by the determinant.
  • 14. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS Fig. 2.17 The hand frame of the robot relative to the reference frame. Forward Kinematics Analysis: • Calculating the position and orientation of the hand of the robot. • If all robot joint variables are known, one can calculate where the robot is at any instant. • Recall Chapter 1.
  • 15. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.1 Forward and Inverse Kinematics Equations for Position Forward Kinematics and Inverse Kinematics equation for position analysis : (a) Cartesian (gantry, rectangular) coordinates. (b) Cylindrical coordinates. (c) Spherical coordinates. (d) Articulated (anthropomorphic, or all-revolute) coordinates.
  • 16. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.1 Forward and Inverse Kinematics Equations for Position 2.7.1(a) Cartesian (Gantry, Rectangular) Coordinates IBM 7565 robot • All actuator is linear. • A gantry robot is a Cartesian robot. Fig. 2.18 Cartesian Coordinates.               1 0 0 0 1 0 0 0 1 0 0 0 1 z y x cart P R P P P T T
  • 17. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.1 Forward and Inverse Kinematics Equations for Position 2.7.1(b) Cylindrical Coordinates 2 Linear translations and 1 rotation • translation of r along the x-axis • rotation of  about the z-axis • translation of l along the z-axis Fig. 2.19 Cylindrical Coordinates.                1 0 0 0 1 0 0 0 0 l rS C S rC S C T T cyl P R       ,0,0) )Trans( , )Rot( Trans(0,0, ) , , ( r z l l r T T cyl P R    
  • 18. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.1 Forward and Inverse Kinematics Equations for Position 2.7.1(c) Spherical Coordinates 2 Linear translations and 1 rotation • translation of r along the z-axis • rotation of  about the y-axis • rotation of  along the z-axis Fig. 2.20 Spherical Coordinates.                       1 0 0 0 0                  rC C S S rS S S C S C C rS C S S C C T T sph P R ) )Trans( )Rot( Rot( ) ( 0,0, , , , ,     y z l r sph P R T T  
  • 19. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.1 Forward and Inverse Kinematics Equations for Position 2.7.1(d) Articulated Coordinates 3 rotations -> Denavit-Hartenberg representation Fig. 2.21 Articulated Coordinates.
  • 20. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.2 Forward and Inverse Kinematics Equations for Orientation  Roll, Pitch, Yaw (RPY) angles  Euler angles  Articulated joints
  • 21. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.2 Forward and Inverse Kinematics Equations for Orientation 2.7.2(a) Roll, Pitch, Yaw(RPY) Angles Roll: Rotation of about -axis (z-axis of the moving frame) Pitch: Rotation of about -axis (y-axis of the moving frame) Yaw: Rotation of about -axis (x-axis of the moving frame) a a  o  n  o n Fig. 2.22 RPY rotations about the current axes.
  • 22. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.2 Forward and Inverse Kinematics Equations for Orientation 2.7.2(b) Euler Angles Fig. 2.24 Euler rotations about the current axes. Rotation of about -axis (z-axis of the moving frame) followed by Rotation of about -axis (y-axis of the moving frame) followed by Rotation of about -axis (z-axis of the moving frame). a    o a
  • 23. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.2 Forward and Inverse Kinematics Equations for Orientation 2.7.2(c) Articulated Joints Consult again section 2.7.1(d)…….
  • 24. Chapter 2 Robot Kinematics: Position Analysis 2.7 FORWARD AND INVERSE KINEMATICS OF ROBOTS 2.7.3 Forward and Inverse Kinematics Equations for Orientation ) ( ) ( , , , , n o a z y x cart H R RPY P P P T T      ) ( ) ( , , , ,      Euler T T r sph H R    Assumption : Robot is made of a Cartesian and an RPY set of joints.  Assumption : Robot is made of a Spherical Coordinate and an Euler angle. Another Combination can be possible…… Denavit-Hartenberg Representation
  • 25. Chapter 2 Robot Kinematics: Position Analysis 2.8 DENAVIT-HARTENBERG REPRESENTATION OF FORWARD KINEMATIC EQUATIONS OF ROBOT  Denavit-Hartenberg Representation : Fig. 2.25 A D-H representation of a general-purpose joint-link combination @ Simple way of modeling robot links and joints for any robot configuration, regardless of its sequence or complexity. @ Transformations in any coordinates is possible. @ Any possible combinations of joints and links and all-revolute articulated robots can be represented.
  • 26. Chapter 2 Robot Kinematics: Position Analysis 2.8 DENAVIT-HARTENBERG REPRESENTATION OF FORWARD KINEMATIC EQUATIONS OF ROBOT  Denavit-Hartenberg Representation procedures: Start point: Assign joint number n to the first shown joint. Assign a local reference frame for each and every joint before or after these joints. Y-axis does not used in D-H representation.
  • 27. Chapter 2 Robot Kinematics: Position Analysis 2.8 DENAVIT-HARTENBERG REPRESENTATION OF FORWARD KINEMATIC EQUATIONS OF ROBOT  Procedures for assigning a local reference frame to each joint: ‫٭‬ All joints are represented by a z-axis. (right-hand rule for rotational joint, linear movement for prismatic joint) ‫٭‬ The common normal is one line mutually perpendicular to any two skew lines. ‫٭‬ Parallel z-axes joints make a infinite number of common normal. ‫٭‬ Intersecting z-axes of two successive joints make no common normal between them(Length is 0.).
  • 28. Chapter 2 Robot Kinematics: Position Analysis 2.8 DENAVIT-HARTENBERG REPRESENTATION OF FORWARD KINEMATIC EQUATIONS OF ROBOT  Symbol Terminologies : ⊙  : A rotation about the z-axis. ⊙ d : The distance on the z-axis. ⊙ a : The length of each common normal (Joint offset). ⊙  : The angle between two successive z-axes (Joint twist)  Only  and d are joint variables.
  • 29. Chapter 2 Robot Kinematics: Position Analysis 2.8 DENAVIT-HARTENBERG REPRESENTATION OF FORWARD KINEMATIC EQUATIONS OF ROBOT  The necessary motions to transform from one reference frame to the next. (I) Rotate about the zn-axis an able of n+1. (Coplanar) (II) Translate along zn-axis a distance of dn+1 to make xn and xn+1 colinear. (III) Translate along the xn-axis a distance of an+1 to bring the origins of xn+1 together. (IV) Rotate zn-axis about xn+1 axis an angle of n+1 to align zn-axis with zn+1-axis.
  • 30. Chapter 2 Robot Kinematics: Position Analysis 2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT  Determine the value of each joint to place the arm at a desired position and orientation. 6 5 4 3 2 1 A A A A A A TH R                                          1 0 0 0 ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( 2 2 3 23 4 234 5 234 6 234 6 5 234 6 234 6 5 234 2 2 3 23 4 234 1 5 1 5 234 1 6 5 1 6 234 6 5 234 1 6 5 1 6 234 6 5 234 1 2 2 3 23 4 234 1 5 1 5 234 1 6 5 1 6 234 6 5 234 1 6 5 1 6 234 6 5 234 1 a S a S a S S S C C C C S S C C C S a C a C a C S C C S C S C S C C S C C C S C S C S S C C C S a C a C a C C C S S C C C S S C S C C C C C S S S S C C C C              1 0 0 0 z z z z y y y y x x x x p a o n p a o n p a o n
  • 31. Chapter 2 Robot Kinematics: Position Analysis 2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT 6 5 4 3 2 1 1 1 1 ] [ 1 0 0 0 A A A A A RHS A p a o n p a o n p a o n A z z z z y y y y x x x x                  6 5 4 3 2 1 1 1 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 A A A A A p a o n p a o n p a o n C S S C z z z z y y y y x x x x                           
  • 32. Chapter 2 Robot Kinematics: Position Analysis 2.9 THE INVERSE KINEMATIC SOLUTION OF ROBOT           x y p p 1 1 tan  ) ( ) )( ( ) ( ) )( ( tan 4 234 3 3 4 234 1 1 2 3 3 4 234 1 1 3 3 4 234 2 3 3 1 2 a S P a S a C S p C p a a C a C S p C p a S a S p a a C z y x y x z                      3 3 1 3 tan C S  3 2 234 4        y x z y x a C a S a S a S a C C 1 1 234 1 1 234 1 5 ) ( tan       z y x z y x o C o S o C S n S n S n C S 234 1 1 234 234 1 1 234 1 6 ) ( ) ( tan         
  • 33. Chapter 2 Robot Kinematics: Position Analysis 2.10 INVERSE KINEMATIC PROGRAM OF ROBOTS  A robot has a predictable path on a straight line,  Or an unpredictable path on a straight line. ‫٭‬ A predictable path is necessary to recalculate joint variables. (Between 50 to 200 times a second) ‫٭‬ To make the robot follow a straight line, it is necessary to break the line into many small sections. ‫٭‬ All unnecessary computations should be eliminated. Fig. 2.30 Small sections of movement for straight-line motions
  • 34. Chapter 2 Robot Kinematics: Position Analysis 2.11 DEGENERACY AND DEXTERITY Degeneracy : The robot looses a degree of freedom and thus cannot perform as desired. ‫٭‬ When the robot’s joints reach their physical limits, and as a result, cannot move any further. ‫٭‬ In the middle point of its workspace if the z-axes of two similar joints becomes colinear. Fig. 2.31 An example of a robot in a degenerate position. Dexterity : The volume of points where one can position the robot as desired, but not orientate it.
  • 35. Chapter 2 Robot Kinematics: Position Analysis 2.12 THE FUNDAMENTAL PROBLEM WITH D-H REPRESENTATION Defect of D-H presentation : D-H cannot represent any motion about the y-axis, because all motions are about the x- and z-axis. Fig. 2.31 The frames of the Stanford Arm. #  d a  1 1 0 0 -90 2 2 d1 0 90 3 0 d1 0 0 4 4 0 0 -90 5 5 0 0 90 6 6 0 0 0 TABLE 2.3 THE PARAMETERS TABLE FOR THE STANFORD ARM