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PRESENTED BY-
PAWAN PORWAL
PRESENTING
Robots
Robota (Czech) = A worker of forced labor
From Czech playwright Karel Capek's 1921 play “R.U.R”
(“Rossum's Universal Robots”)
Japanese Industrial Robot Association (JIRA) :
“A device with degrees of freedom that can be controlled.”
Class 1 : Manual handling device
Class 2 : Fixed sequence robot
Class 3 : Variable sequence robot
Class 4 : Playback robot
Class 5 : Numerical control robot
Class 6 : Intelligent robot
DEFINITION
ROBOT TECHNOLOGY IS AN APPLIED SCIENCE THAT IS REFERRED TO AS A
COMBINATION OF MACHINE TOOLS AND COMPUTER APPLICATIONS.
INCLUDES SUCH DIVERSE FIELDS AS MACHINE DESIGN, CONTROL THEORY,
MICROELECTRONICS, COMPUTER PROGRAMMING, ARTIFICIAL INTELLIGENCE,
HUMAN FACTORS, AND PRODUCTION THEORY.
GENERAL CHARACTERSTICS
A SPECIALIZED MACHINE TOOLS WITH A DEGREEN OF FLEXIBILITY THAT
DISTINGUISHES THEM FROM FIXED-PURPOSE AUTOMATION.
IS ESSENTIALLY A MECHANICAL ARM THAT IS BOLTED TO THE FLOOR, A
MACHINE, THE CEILING, OR, IN SOME CASES THE WALL FITTED WITH ITS
MECHANICAL HAND, AND TAUGHT TO DO REPETITIVE TASK IN A CONTROLLED,
ORDERED ENVIRONMENT.
ABILITY TO MOVE MECHANICAL ARM TO PERFORM WORK.
ROBOT INTERFACE WITH THEIR WORK ENVIRONMENT ONCE A MECHANICAL
HAND HAS BEEN ATTACHED TO THE ROBOT’S TOOL-MOUNTING PLATE.
ROBOT TECHNOLOGY
• Mechanical Automata
– Ancient Greece & Egypt
• Water powered for
ceremonies
– 14th – 19th century
Europe
• Clockwork driven for
entertainment
• Motor driven Robots
– 1928: First motor driven
automata
– 1961: Unimate
• First industrial robot
– 1967: Shakey
• Autonomous mobile
research robot
– 1969: Stanford Arm
• Dextrous, electric motor
driven robot arm
AutonomousRobots
• The control of autonomous robots involves a
number of subtasks
– Understanding and modeling of the mechanism
• Kinematics, Dynamics, and Odometry
– Reliable control of the actuators
• Closed-loop control
– Generation of task-specific motions
• Path planning
– Integration of sensors
• Selection and interfacing of various types of sensors
– Coping with noise and uncertainty
• Filtering of sensor noise and actuator uncertainty
– Creation of flexible control policies
• Control has to deal with new situations
TraditionalIndustrial Robots
• Traditional industrial robot control uses robot
arms and largely pre-computed motions
 Programming using “teach box”
 Repetitive tasks
 High speed
 Few sensing operations
 High precision movements
 Pre-planned trajectories and
task policies
 No interaction with humans
BASIC COMPONENTS
• THE BASIC COMPONENTS OF AN INDUSTRIAL ROBOT ARE THE
– MANIPULATOR
– THE END EFFECTOR (WHICH IS THE PART OF THE MANIPULATOR).
– THE POWER SUPLLY
– AND THE CONTROLLER.
• THE MANIPULATOR, WHICH IS THE ROBOT’S ARM, CONSISTS OF SEGMENTS JOINTED
TOGETHER WITH AXES CAPABLE OF MOTION IN VARIOUS DIRECTIONS ALLOWING THE
ROBOT TO PERFORM WORK.
• THE END EFFECTOR WHICH IS A GRIPPER TOOL, A SPECIAL DEVICE, OR FIXTURE
ATTACHED TO THE ROBOT’S ARM, ACTUALLY PERFORMS THE WORK.
• POWER SUPPLY PROVIDES AND REGULATES THE ENERGY THAT IS CONVERTED TO
MOTION BY THE ROBOT ACTUATOR, AND IT MAY BE EITHER ELECTRIC, PNEUMATIC,
OR HYDRAULIC.
• THE CONTROLLER INITIATES, TERMINATES, AND COORDINATES THE MOTION OF
SEQUENCES OF A ROBOT. ALSO IT ACCEPTS THE NECESSARY INPUTS TO THE ROBOT
AND PROVIDES THE OUTPUTS TO INTERFACE WITH THE OUTSIDE WORLD.
ROBOT ANATOMY
• ROBOT ANATOMY IS CONCERNED WITH THE PHYSICAL CONSTRUCTION AND
CHARACTERISTICS OF THE BODY, ARM, AND WRIST, WHICH ARE COMPONENTS OF
ROBOT MANIPULATOR.
• MOVEMENTS BETWEEN THE VARIOUS COMPONENTS OF THE BODY, ARM, AND
WRIST ARE PROVIDED BY A SERIES OF JOINTS.
• ATTACHED TO THE ROBOT WRIST IS THE END EFFECTOR (OR END-OF-ARM
TOOLING) THAT PERFORMS THE WORK.
• THE END EFFECTOR IS NOT CONSIDERED A PART OF THE ROBOT’S ANATOMY.
ROBOT CONFIGURATIONS:
1. INDUSTRIAL ROBOTS ARE AVAILABLE IN A WIDE RANGE OF SHAPES, SIZES,
SPEEDS, LOAD CAPACITIES, AND OTHER CAPABILITIES.
2. THE VAST MAJORITY OF TODY’S COMMERCIALLY AVAILABLE ROBOTS POSSESS
FIVE DISTINCT DESIGN CONFIGURATIONS:
A. RECTANGULAR (OR CARTESIAN)
B. CYLINDIRICAL (OR POST-TYPE)
C. SPHERICAL (OR POLAR)
D. JOINTED ARM (ARTICULATED OR REVOLUTE)
E. SCARA (SELECTIVE COMPLAINCE ASSEMBLY ROBOT ARM)
Autonomous Robot Control
• To control robots to perform tasks
autonomously a number of tasks have
to be addressed:
– Modeling of robot mechanisms
• Kinematics, Dynamics
– Robot sensor selection
• Active and passive proximity sensors
– Low-level control of actuators
• Closed-loop control
– Control architectures
• Traditional planning architectures
• Behavior-based control architectures
• Hybrid architectures
• Forward kinematics describes how the robots joint
angle configurations translate to locations in the
world
• Inverse kinematics computes the joint angle
configuration necessary to reach a particular point
in space.
• Jacobians calculate how the speed and
configuration of the actuators translate into velocity
of the robot
Modelingthe Robot Mechanism
(x, y, z)
1
2
(x, y, )
Actuator Control
• To get a particular robot actuator to a particular
location it is important to apply the correct amount
of force or torque to it.
– Requires knowledge of the dynamics of the robot
• Mass, inertia, friction
• For a simplistic mobile robot: F = m a + B v
– Frequently actuators are treated as if they were
independent (i.e. as if moving one joint would not affect
any of the other joints).
– The most common control approach is PD-control
(proportional, differential control)
• For the simplistic mobile robot moving in the x direction:
   actualdesiredDactualdesiredP vvKxxKF 
Sensor-Driven Robot Control
• To accurately achieve a task in an intelligent
environment, a robot has to be able to react
dynamically to changes ion its surrounding
– Robots need sensors to perceive the environment
– Most robots use a set of different sensors
• Different sensors serve different purposes
– Information from sensors has to be integrated
into the control of the robot
Robot Sensors
• Proximity sensors are used to measure the distance or
location of objects in the environment. This can then be
used to determine the location of the robot.
– Infrared sensors determine the distance to an object by measuring
the amount of infrared light the object reflects back to the robot
– Ultrasonic sensors (sonars) measure the time that an ultrasonic
signal takes until it returns to the robot
– Laser range finders determine distance by
measuring either the time it takes for a laser
beam to be reflected back to the robot or by
measuring where the laser hits the object
Uncertainty in Robot Systems
Robot systems in intelligent environments
have to deal with sensor noise and
uncertainty
 Sensor uncertainty
Sensor readings are imprecise and unreliable
 Non-observability
Various aspects of the environment can not be
observed
The environment is initially unknown
 Action uncertainty
Actions can fail
Actions have nondeterministic outcomes
Deliberative
Robot Control Architectures
• In a deliberative control architecture the robot first
plans a solution for the task by reasoning about the
outcome of its actions and then executes it
– Control process goes through a sequence of sencing,
model update, and planning steps
Behavior-Based
Robot Control Architectures
• In a behavior-based control architecture the robot’s
actions are determined by a set of parallel, reactive
behaviors which map sensory input and state to
actions.
• Complex behavior can be achieved using very
simple control mechanisms
– Braitenberg vehicles: differential drive mobile robots
with two light sensors
• Complex external behavior does not necessarily require a
complex reasoning mechanism
Complex Behavior from Simple
Elements: Braitenberg Vehicles
+ +
“Coward” “Aggressive”
+ + - -
“Love” “Explore”
- -
ROBOTGENERATIONS
• THE FIVE GENERATIONS OF ROBOT CONTROLLERS AFTER THE HIGH-TECH
INCEPTION IN 1960 ARE AS FOLLOWS:
– FIRST GENERATION: REPEATING ROBOTS. THESE WERE GENRALLY PICK
AND PLACE ROBOTS, WITH MECHANICAL SEQUENCES DEFINING STOP
POINTS.
– SECOND GENERATION: HARDWIRED CONTROLLERS PROVIDED THE
FIRST PROGRAMMABLE UNITS.
– THIRD GENERATION: PROGRAMMABLE LOGIC CONTROLLERS (PLC),
INTRODUCED IN THE INDUSTRY OVER THIRTEEN YEARS AGO, PROVIDED
A MICROPROCESSOR-BASED ROBOTIC CONTROLLER THAT IS EASY TO
PROGRAM.
– FOURTH GENERATION: WHEN CONTROL BEYOND THE PLC IS REQUIRED,
A MICROCOMPUTER MAY CONTROL THE ENTIRE SYSTEM, INCLUDING
OTHER PROGRAMMABLE MACHINERY IN A ROBOT WORKCELL.
– FIFTH GENERATION: ROBOT CONTROLLER WILL INVOLVE COMPLETE
ARTIFICAIL INTELLIGENCE (AI), MINIATURED SENSORS, AD DECISION
MAKING CAPABILITIES.
• AN ARTIFICIAL BIOLOGICAL ROBOT MIGHT PROVIDE THE IMPETUS FOR
SIXTH AND HIGHER GENERATION ROBOTS.
ROBOTSELECTION
• ROBOT MUST BE MATCHED PROPERLY BY CAPABILITIES TO TASK REQUIREMENTS.
• AN OBJECTIVE APPROACH TO ROBOT SELECTION PROVIDES FEWER RESTRICTIONS IN SYSTEM
DESIGN BY ALLOWING FOR THE OPTIMUM SYSTEM DESIGN TO BE ACHIEVED REGARDLESS OF THE
SPECIFIC ROBOT NEED.
• CRITERIA FOR ROBOT SELECTION:
– TECHINICAL ISSUES:
• TYPE: NONSERVO, SERVO, SERVO-CONTROLLED
• WORK ENVELOPE: RECTANGULAR, CYLINDIRCAL, SPHERICAL, JOINTED ARM, SCARA
• PAYLOAD
• CYCLE TIME
• REPEATABILITY
• DRIVE: ELECTRIC, PNEUMATIC, HYDRAULIC, ANY COMBINATION
• UNIQUE CAPABILITIES
– NON-TECHNICAL ISSUES:
• COST AND BENEFIT CONSIDERATION
• COMMONALITY OF EQUIPMENT
• TRAINING AND MAINTENANCE REQUIREMENTS
• RELIABILITY
• SERVICE
• “SYSTEMS” HELP
• SAFETY
Robots in the Real World
• Welding
• Painting
• Assembly
• Laboratory
• Manufacturers
SUMMARY
• ROBOT TECHNOLOGY IS AN APPLIED SCIENCE THAT IS REFERRED TO AS
COMBINATION OF MACHINE TOOL FUNDAMENTALS AND COMPUTER
APPLICATIONS.
• THE BASIC COMPONENTS OF AN INDUSTRIAL ROBOT ARE, MANIPULATOR,
END EFFECTOR, POWER SUPPLY AND CONTROL SYSTEM.
• ROBOT ANATOMY IS CONCERNED WITH THE PHYSICAL CONSTRUCTION AND
OPERATION OF THE MANIPULATOR AND HAS FIVE BASIC CONFIGURATIONS:
RECTANGULAR, CYLINDRICAL, SPHERICAL, JOINTED-ARM, AND SCARA.
• ROBOTS WITH INCREASING INTELLIGENCE, SENSORY CAPABILITY, DEXTERITY
& SOPHISTICATED CONTROL SYSTEMS HAVE BECOME DOMINANT
FACTOR IN MODERN MANUFACTURING.
•THE THREE FACTORS THAT INFLUENCE THE SELECTION OF ROBOTS IN
MANUFACTURING ARE: DYNAMIC PROPERTIES AND PERFORMANCE,
ECONOMICS AND SAFETY.
Robotics ppt 1

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Robotics ppt 1

  • 2. Robots Robota (Czech) = A worker of forced labor From Czech playwright Karel Capek's 1921 play “R.U.R” (“Rossum's Universal Robots”) Japanese Industrial Robot Association (JIRA) : “A device with degrees of freedom that can be controlled.” Class 1 : Manual handling device Class 2 : Fixed sequence robot Class 3 : Variable sequence robot Class 4 : Playback robot Class 5 : Numerical control robot Class 6 : Intelligent robot
  • 3. DEFINITION ROBOT TECHNOLOGY IS AN APPLIED SCIENCE THAT IS REFERRED TO AS A COMBINATION OF MACHINE TOOLS AND COMPUTER APPLICATIONS. INCLUDES SUCH DIVERSE FIELDS AS MACHINE DESIGN, CONTROL THEORY, MICROELECTRONICS, COMPUTER PROGRAMMING, ARTIFICIAL INTELLIGENCE, HUMAN FACTORS, AND PRODUCTION THEORY. GENERAL CHARACTERSTICS A SPECIALIZED MACHINE TOOLS WITH A DEGREEN OF FLEXIBILITY THAT DISTINGUISHES THEM FROM FIXED-PURPOSE AUTOMATION. IS ESSENTIALLY A MECHANICAL ARM THAT IS BOLTED TO THE FLOOR, A MACHINE, THE CEILING, OR, IN SOME CASES THE WALL FITTED WITH ITS MECHANICAL HAND, AND TAUGHT TO DO REPETITIVE TASK IN A CONTROLLED, ORDERED ENVIRONMENT. ABILITY TO MOVE MECHANICAL ARM TO PERFORM WORK. ROBOT INTERFACE WITH THEIR WORK ENVIRONMENT ONCE A MECHANICAL HAND HAS BEEN ATTACHED TO THE ROBOT’S TOOL-MOUNTING PLATE. ROBOT TECHNOLOGY
  • 4. • Mechanical Automata – Ancient Greece & Egypt • Water powered for ceremonies – 14th – 19th century Europe • Clockwork driven for entertainment • Motor driven Robots – 1928: First motor driven automata – 1961: Unimate • First industrial robot – 1967: Shakey • Autonomous mobile research robot – 1969: Stanford Arm • Dextrous, electric motor driven robot arm
  • 5. AutonomousRobots • The control of autonomous robots involves a number of subtasks – Understanding and modeling of the mechanism • Kinematics, Dynamics, and Odometry – Reliable control of the actuators • Closed-loop control – Generation of task-specific motions • Path planning – Integration of sensors • Selection and interfacing of various types of sensors – Coping with noise and uncertainty • Filtering of sensor noise and actuator uncertainty – Creation of flexible control policies • Control has to deal with new situations
  • 6. TraditionalIndustrial Robots • Traditional industrial robot control uses robot arms and largely pre-computed motions  Programming using “teach box”  Repetitive tasks  High speed  Few sensing operations  High precision movements  Pre-planned trajectories and task policies  No interaction with humans
  • 7. BASIC COMPONENTS • THE BASIC COMPONENTS OF AN INDUSTRIAL ROBOT ARE THE – MANIPULATOR – THE END EFFECTOR (WHICH IS THE PART OF THE MANIPULATOR). – THE POWER SUPLLY – AND THE CONTROLLER. • THE MANIPULATOR, WHICH IS THE ROBOT’S ARM, CONSISTS OF SEGMENTS JOINTED TOGETHER WITH AXES CAPABLE OF MOTION IN VARIOUS DIRECTIONS ALLOWING THE ROBOT TO PERFORM WORK. • THE END EFFECTOR WHICH IS A GRIPPER TOOL, A SPECIAL DEVICE, OR FIXTURE ATTACHED TO THE ROBOT’S ARM, ACTUALLY PERFORMS THE WORK. • POWER SUPPLY PROVIDES AND REGULATES THE ENERGY THAT IS CONVERTED TO MOTION BY THE ROBOT ACTUATOR, AND IT MAY BE EITHER ELECTRIC, PNEUMATIC, OR HYDRAULIC. • THE CONTROLLER INITIATES, TERMINATES, AND COORDINATES THE MOTION OF SEQUENCES OF A ROBOT. ALSO IT ACCEPTS THE NECESSARY INPUTS TO THE ROBOT AND PROVIDES THE OUTPUTS TO INTERFACE WITH THE OUTSIDE WORLD.
  • 8.
  • 9. ROBOT ANATOMY • ROBOT ANATOMY IS CONCERNED WITH THE PHYSICAL CONSTRUCTION AND CHARACTERISTICS OF THE BODY, ARM, AND WRIST, WHICH ARE COMPONENTS OF ROBOT MANIPULATOR. • MOVEMENTS BETWEEN THE VARIOUS COMPONENTS OF THE BODY, ARM, AND WRIST ARE PROVIDED BY A SERIES OF JOINTS. • ATTACHED TO THE ROBOT WRIST IS THE END EFFECTOR (OR END-OF-ARM TOOLING) THAT PERFORMS THE WORK. • THE END EFFECTOR IS NOT CONSIDERED A PART OF THE ROBOT’S ANATOMY. ROBOT CONFIGURATIONS: 1. INDUSTRIAL ROBOTS ARE AVAILABLE IN A WIDE RANGE OF SHAPES, SIZES, SPEEDS, LOAD CAPACITIES, AND OTHER CAPABILITIES. 2. THE VAST MAJORITY OF TODY’S COMMERCIALLY AVAILABLE ROBOTS POSSESS FIVE DISTINCT DESIGN CONFIGURATIONS: A. RECTANGULAR (OR CARTESIAN) B. CYLINDIRICAL (OR POST-TYPE) C. SPHERICAL (OR POLAR) D. JOINTED ARM (ARTICULATED OR REVOLUTE) E. SCARA (SELECTIVE COMPLAINCE ASSEMBLY ROBOT ARM)
  • 10. Autonomous Robot Control • To control robots to perform tasks autonomously a number of tasks have to be addressed: – Modeling of robot mechanisms • Kinematics, Dynamics – Robot sensor selection • Active and passive proximity sensors – Low-level control of actuators • Closed-loop control – Control architectures • Traditional planning architectures • Behavior-based control architectures • Hybrid architectures
  • 11. • Forward kinematics describes how the robots joint angle configurations translate to locations in the world • Inverse kinematics computes the joint angle configuration necessary to reach a particular point in space. • Jacobians calculate how the speed and configuration of the actuators translate into velocity of the robot Modelingthe Robot Mechanism (x, y, z) 1 2 (x, y, )
  • 12. Actuator Control • To get a particular robot actuator to a particular location it is important to apply the correct amount of force or torque to it. – Requires knowledge of the dynamics of the robot • Mass, inertia, friction • For a simplistic mobile robot: F = m a + B v – Frequently actuators are treated as if they were independent (i.e. as if moving one joint would not affect any of the other joints). – The most common control approach is PD-control (proportional, differential control) • For the simplistic mobile robot moving in the x direction:    actualdesiredDactualdesiredP vvKxxKF 
  • 13. Sensor-Driven Robot Control • To accurately achieve a task in an intelligent environment, a robot has to be able to react dynamically to changes ion its surrounding – Robots need sensors to perceive the environment – Most robots use a set of different sensors • Different sensors serve different purposes – Information from sensors has to be integrated into the control of the robot
  • 14. Robot Sensors • Proximity sensors are used to measure the distance or location of objects in the environment. This can then be used to determine the location of the robot. – Infrared sensors determine the distance to an object by measuring the amount of infrared light the object reflects back to the robot – Ultrasonic sensors (sonars) measure the time that an ultrasonic signal takes until it returns to the robot – Laser range finders determine distance by measuring either the time it takes for a laser beam to be reflected back to the robot or by measuring where the laser hits the object
  • 15. Uncertainty in Robot Systems Robot systems in intelligent environments have to deal with sensor noise and uncertainty  Sensor uncertainty Sensor readings are imprecise and unreliable  Non-observability Various aspects of the environment can not be observed The environment is initially unknown  Action uncertainty Actions can fail Actions have nondeterministic outcomes
  • 16. Deliberative Robot Control Architectures • In a deliberative control architecture the robot first plans a solution for the task by reasoning about the outcome of its actions and then executes it – Control process goes through a sequence of sencing, model update, and planning steps
  • 17. Behavior-Based Robot Control Architectures • In a behavior-based control architecture the robot’s actions are determined by a set of parallel, reactive behaviors which map sensory input and state to actions.
  • 18. • Complex behavior can be achieved using very simple control mechanisms – Braitenberg vehicles: differential drive mobile robots with two light sensors • Complex external behavior does not necessarily require a complex reasoning mechanism Complex Behavior from Simple Elements: Braitenberg Vehicles + + “Coward” “Aggressive” + + - - “Love” “Explore” - -
  • 19. ROBOTGENERATIONS • THE FIVE GENERATIONS OF ROBOT CONTROLLERS AFTER THE HIGH-TECH INCEPTION IN 1960 ARE AS FOLLOWS: – FIRST GENERATION: REPEATING ROBOTS. THESE WERE GENRALLY PICK AND PLACE ROBOTS, WITH MECHANICAL SEQUENCES DEFINING STOP POINTS. – SECOND GENERATION: HARDWIRED CONTROLLERS PROVIDED THE FIRST PROGRAMMABLE UNITS. – THIRD GENERATION: PROGRAMMABLE LOGIC CONTROLLERS (PLC), INTRODUCED IN THE INDUSTRY OVER THIRTEEN YEARS AGO, PROVIDED A MICROPROCESSOR-BASED ROBOTIC CONTROLLER THAT IS EASY TO PROGRAM. – FOURTH GENERATION: WHEN CONTROL BEYOND THE PLC IS REQUIRED, A MICROCOMPUTER MAY CONTROL THE ENTIRE SYSTEM, INCLUDING OTHER PROGRAMMABLE MACHINERY IN A ROBOT WORKCELL. – FIFTH GENERATION: ROBOT CONTROLLER WILL INVOLVE COMPLETE ARTIFICAIL INTELLIGENCE (AI), MINIATURED SENSORS, AD DECISION MAKING CAPABILITIES. • AN ARTIFICIAL BIOLOGICAL ROBOT MIGHT PROVIDE THE IMPETUS FOR SIXTH AND HIGHER GENERATION ROBOTS.
  • 20. ROBOTSELECTION • ROBOT MUST BE MATCHED PROPERLY BY CAPABILITIES TO TASK REQUIREMENTS. • AN OBJECTIVE APPROACH TO ROBOT SELECTION PROVIDES FEWER RESTRICTIONS IN SYSTEM DESIGN BY ALLOWING FOR THE OPTIMUM SYSTEM DESIGN TO BE ACHIEVED REGARDLESS OF THE SPECIFIC ROBOT NEED. • CRITERIA FOR ROBOT SELECTION: – TECHINICAL ISSUES: • TYPE: NONSERVO, SERVO, SERVO-CONTROLLED • WORK ENVELOPE: RECTANGULAR, CYLINDIRCAL, SPHERICAL, JOINTED ARM, SCARA • PAYLOAD • CYCLE TIME • REPEATABILITY • DRIVE: ELECTRIC, PNEUMATIC, HYDRAULIC, ANY COMBINATION • UNIQUE CAPABILITIES – NON-TECHNICAL ISSUES: • COST AND BENEFIT CONSIDERATION • COMMONALITY OF EQUIPMENT • TRAINING AND MAINTENANCE REQUIREMENTS • RELIABILITY • SERVICE • “SYSTEMS” HELP • SAFETY
  • 21. Robots in the Real World • Welding • Painting • Assembly • Laboratory • Manufacturers
  • 22. SUMMARY • ROBOT TECHNOLOGY IS AN APPLIED SCIENCE THAT IS REFERRED TO AS COMBINATION OF MACHINE TOOL FUNDAMENTALS AND COMPUTER APPLICATIONS. • THE BASIC COMPONENTS OF AN INDUSTRIAL ROBOT ARE, MANIPULATOR, END EFFECTOR, POWER SUPPLY AND CONTROL SYSTEM. • ROBOT ANATOMY IS CONCERNED WITH THE PHYSICAL CONSTRUCTION AND OPERATION OF THE MANIPULATOR AND HAS FIVE BASIC CONFIGURATIONS: RECTANGULAR, CYLINDRICAL, SPHERICAL, JOINTED-ARM, AND SCARA. • ROBOTS WITH INCREASING INTELLIGENCE, SENSORY CAPABILITY, DEXTERITY & SOPHISTICATED CONTROL SYSTEMS HAVE BECOME DOMINANT FACTOR IN MODERN MANUFACTURING. •THE THREE FACTORS THAT INFLUENCE THE SELECTION OF ROBOTS IN MANUFACTURING ARE: DYNAMIC PROPERTIES AND PERFORMANCE, ECONOMICS AND SAFETY.