21-01-2012, 01:02 PM
Robotics
[attachment=16390]
Sensors and Effectors
.Robotics interact with real world
.Need direct sensing for
-Distance to objects – range finding/sonar/GPS
-Recognize objects – vision
- Self-sensing – proprioception: pose/position
Need effectors to
-Move self in world: locomotion: wheels, legs
- Move other things in world: manipulators
- Joints, arms: Complex many degrees of freedom
Application: Configuration Space
Problem: Robot navigation
-Move robot between two objects without changing orientation
Possible?
-Complex search space: boundary tests, etc
Conclusion
.Robotics as AI microcosm
-Back to PEAS model
-Performance measure, environment, actuators, sensors
.Robots as agents act in full complex real world
-Tasks, rely on actuators and sensing of environment
-Exploits perceptions, learning, and reasoning
-Integrates classic AI search, representation with modern learning,
robustness, real-world focus
[attachment=16390]
Sensors and Effectors
.Robotics interact with real world
.Need direct sensing for
-Distance to objects – range finding/sonar/GPS
-Recognize objects – vision
- Self-sensing – proprioception: pose/position
Need effectors to
-Move self in world: locomotion: wheels, legs
- Move other things in world: manipulators
- Joints, arms: Complex many degrees of freedom
Application: Configuration Space
Problem: Robot navigation
-Move robot between two objects without changing orientation
Possible?
-Complex search space: boundary tests, etc
Conclusion
.Robotics as AI microcosm
-Back to PEAS model
-Performance measure, environment, actuators, sensors
.Robots as agents act in full complex real world
-Tasks, rely on actuators and sensing of environment
-Exploits perceptions, learning, and reasoning
-Integrates classic AI search, representation with modern learning,
robustness, real-world focus