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