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Introduction to Robotics
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Topic Name
Outline
Definition
Types
Uses
History
Future
Conclusions
Robot Definition
 Word robot was coined by
Karel Capek in a 1920 in America .
Image 1 :
Karel Capek
Definition of robot :
 A machine capable of carrying out a complex series of actions
automatically, especially one programmable by a computer.
History of Robotics:
1954: The first programmable
robot is designed by George
Dev0l. First robot company (1962).
Image 2 : UNIMATE originally
automated the manufacture of
TV picture tubes
PUMA 560 Manipulator
1978: The PUMA robot is developed
By animation with a General
Motors design support.
Adept” SCARA robots Cognex In-sight robots
1980s : The robot industry enters a phase of rapid growth.
Many institutions introduce programs and courses in robotics.
.
Barrett Technology Manipulator
Image 3 : All are Programmable robots
Types of Robots:I
Image4: Both are manipulator robots Image5 : Wheeled Robot
Image6: Legged Robot
Image7: Autonomous Underwater
Vehicle
Robot Uses
Image8: Decontaminating Robot
Image10: Welding
Robot
Image9: The SCRUBMATE Robot
Robots in Space
Image11: NASA Space Station
Robots at Home
Sony SDR-3X Entertainment Robot Medical emergence
Sony Audio for
entertainment
Medical Robots
Robotic assistant for micro surgery
Knowledgebase for Robotics
Typical knowledgebase for the design
and operation of robotics
systems
–Dynamic system modeling and analysis
–Feedback control
–Sensors and signal conditioning
–Actuators (muscles) and power electronics
–Hardware/computer interfacing
–Computer programming
Key Components
• Base
• Manipulator
• Controller
• Sensors Actuators
• User interface
• Power conversion unit
Sensor
Image11: Different type of sensor
Robot Mechanism
Mechanical Elements
Image12 : all mechanical elements
Controller
Computation Hardware and Interface Hardware
•Hardware to interface digital controller with the external world .
•Computational engine that computes the control
commands
•Provide necessary intelligence to control.
•Process the sensory information and compute it.
Image13: Different type of Computation Hardware and Interface Hardware
Future of Robots
Artificial Intelligence
KismetCog
Autonomy
Robot Work Crews Garbage Collection Cart
Humanoids
conclusions
Useful
Problems
 Robots are an important
component in Intelligent
Environments
 Automate devices
 Provide physical services
 Robot Systems in these
environments need particular
capabilities
 Autonomous control systems
 Simple and natural human-robot
interface
 Adaptive and learning capabilities
 Robots have to maintain safety
during operation
 While a number of techniques to
address these requirements exist,
no functional, satisfactory
solutions have yet been
developed
 Only very simple robots for single
tasks in intelligent environments
exist
 Traditional programming
techniques for industrial
robots lack key capabilities
necessary in intelligent
environments
 Only limited on-line sensing
 No incorporation of
uncertainty
 No interaction with humans
 Reliance on perfect task
information
 Complete re-programming for
new tasks
ROBOTICS & DESIGN (Introduction of Robots) EEN-429

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ROBOTICS & DESIGN (Introduction of Robots) EEN-429

  • 1.
  • 5. Robot Definition  Word robot was coined by Karel Capek in a 1920 in America . Image 1 : Karel Capek Definition of robot :  A machine capable of carrying out a complex series of actions automatically, especially one programmable by a computer.
  • 6. History of Robotics: 1954: The first programmable robot is designed by George Dev0l. First robot company (1962). Image 2 : UNIMATE originally automated the manufacture of TV picture tubes PUMA 560 Manipulator 1978: The PUMA robot is developed By animation with a General Motors design support.
  • 7. Adept” SCARA robots Cognex In-sight robots 1980s : The robot industry enters a phase of rapid growth. Many institutions introduce programs and courses in robotics. . Barrett Technology Manipulator Image 3 : All are Programmable robots
  • 8. Types of Robots:I Image4: Both are manipulator robots Image5 : Wheeled Robot Image6: Legged Robot Image7: Autonomous Underwater Vehicle
  • 9. Robot Uses Image8: Decontaminating Robot Image10: Welding Robot Image9: The SCRUBMATE Robot
  • 10. Robots in Space Image11: NASA Space Station
  • 11. Robots at Home Sony SDR-3X Entertainment Robot Medical emergence Sony Audio for entertainment
  • 12. Medical Robots Robotic assistant for micro surgery
  • 13. Knowledgebase for Robotics Typical knowledgebase for the design and operation of robotics systems –Dynamic system modeling and analysis –Feedback control –Sensors and signal conditioning –Actuators (muscles) and power electronics –Hardware/computer interfacing –Computer programming Key Components • Base • Manipulator • Controller • Sensors Actuators • User interface • Power conversion unit Sensor Image11: Different type of sensor
  • 14. Robot Mechanism Mechanical Elements Image12 : all mechanical elements
  • 15. Controller Computation Hardware and Interface Hardware •Hardware to interface digital controller with the external world . •Computational engine that computes the control commands •Provide necessary intelligence to control. •Process the sensory information and compute it. Image13: Different type of Computation Hardware and Interface Hardware
  • 16. Future of Robots Artificial Intelligence KismetCog Autonomy Robot Work Crews Garbage Collection Cart Humanoids
  • 17. conclusions Useful Problems  Robots are an important component in Intelligent Environments  Automate devices  Provide physical services  Robot Systems in these environments need particular capabilities  Autonomous control systems  Simple and natural human-robot interface  Adaptive and learning capabilities  Robots have to maintain safety during operation  While a number of techniques to address these requirements exist, no functional, satisfactory solutions have yet been developed  Only very simple robots for single tasks in intelligent environments exist  Traditional programming techniques for industrial robots lack key capabilities necessary in intelligent environments  Only limited on-line sensing  No incorporation of uncertainty  No interaction with humans  Reliance on perfect task information  Complete re-programming for new tasks