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Educational Robotics

Educational Robotics. A Glimpse on Robotics Tutorial Material. Overview. What is a robot? Characterization Examples Anatomy Why do computer scientists care about robots? Survey of Educational Robotics Technology Lego Mindstorms Boards for Use with Lego Technics Tetrixx.

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Educational Robotics

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  1. Educational Robotics A Glimpse on Robotics Tutorial Material

  2. Overview • What is a robot? • Characterization • Examples • Anatomy • Why do computer scientists care about robots? • Survey of Educational Robotics Technology • Lego Mindstorms • Boards for Use with Lego Technics • Tetrixx

  3. Autonomous Mobile Robots • Machines capable of moving about their environment and demonstrating some kind of intelligent behavior • Permanent Perception-Cognition-Action cycle • Autonomy is the degree to which an agent's decisions are determined by its own observations and experience

  4. LEGO-Bots

  5. Kheperas

  6. Truck

  7. Sparrows

  8. B21 from RWI 2 DoF omnidrive Pan-Tilt Unit 56 Bumper 48 IR Sensors 24 Sonars 1 Laser Scanner 2 Microphones 2 Cameras Stanislav

  9. Robot Anatomy • Effectors • mobile bases • manipulators (arms, hands, grippers, kickers) • other • Sensors • Electronics • Software • operating systems • programming languages • programming environments • programming methodology • Robot control architectures

  10. R-cam Show me room H20! stantalk stanright L-cam PTU laser GUI stanbook stanleft sonar base Robotics Software Technology • State-of-the-art mobile robots use networked hardware • Software is distributed across available hardware

  11. Robotics is AI-complete • Complex autonomous mobile robots must • represent various kinds of knowledge • knowledge representation • spatiotemporal representations • make inferences from knowledge and plan their action • inference; deduction, abduction • planning and scheduling • perceive their environment • sensor interpretation and sensor fusion • pattern recognition, computer vision • interact with humans • speech, natural language processing • adapt to changing environments and tasks • machine learning • neural network learning, reinforcement learning • evolutionary learning

  12. Three Laws of Robotics

  13. Role of Kinematics • kinematics and manueverability • kinematics and control

  14. Robot Motion • Wheeled robots • Tracked robots • Legged robots • Humanoid robots • Exotic robots

  15. Wheeled Robots • easy to build • easy to control • need flat terrain • cannot climb stairs

  16. Tracked Robots • more difficult to build • easy to control • good on rough terrain • cannot climb stairs

  17. Legged Robots • hard to build • hard to control • good on rough terrain • can climb stairs in principle

  18. Cog

  19. Humanoid Robots

  20. Exotic robots • hard to build • hard to control • stabilization is a major issue • solutions for virtually all environments

  21. Ackermann

  22. Tricycle Drive

  23. Differential Drive

  24. Synchro Drive

  25. Role of Shape

  26. Sturdy Lego Structures

  27. Lego Mathematics

  28. Lego Gearbox

  29. Lego Gearing

  30. Sensor Principle

  31. Analog Sensors

  32. Digital Sensors

  33. Active Sensing

  34. Sensor Uses

  35. Microswitches

  36. Photo Resistors

  37. IR Reflectance Sensor

  38. Breakbeam Sensor

  39. Shaft Encoders

  40. IR Beacon

  41. Sharp IR Sensor

  42. DC Motors

  43. Servo Motors

  44. Motor Characteristics

  45. Pulse-Width Modulation

  46. H-Bridge

  47. Memory Map

  48. 6.270 Board

  49. 6.270 Board

  50. Handyboard

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