Descripción del título
Robotics primer / Maja J. M...
1. What is a robot? 2. Where do robots come from? 3. What's in a robot? 4. Arms, legs, wheels, tracks, and really drives them 5. Move it! 6. Grasping at straws 7. What's going on? 8. Switch on ghe light 9. Sonars, lasers, and cameras 10. Stay in control 11. The building bolcks of control 12. What's in your head? 13. Think hard, act later 14. Don't think, react! 15. Think and act separately, in parallel 16. Think the way you act 17. Making your robot behave 18. When the unexpected happens 19. Going places 20. Go, team! 21. Things keep getting better 22. Where to next?
Monografía
monografia Rebiun21908367 https://catalogo.rebiun.org/rebiun/record/Rebiun21908367 071004s2007 mau b 001 0 eng d 2007000981 1025501172 026263354X 9780262633543 ESALI u633259 ZZAND spa ZZAND ESALI ESEHU PUJAV OCLCQ ESUCM 004.896 007.52 629.892 M171 20 Mataric, Maja J. Robotics primer Maja J. Mataric ; illustrations by Nathan Koenig Cambridge, Mass. The MIT Press 2007 Cambridge, Mass. Cambridge, Mass. The MIT Press xvii, 306 p. il. 22 cm xvii, 306 p. Texto txt rdacontent sin mediación n rdamedia/spa Intelligent robotics and autonomous agents Incluye referencias bibliográficas e índice Preface. -- What is a robot?. -- Where do robots come from?. -- Control theory -- Cybernetics. -- Grey Walter's tortoise. -- Braitenberg's vehicles. -- Artificial intelligence. -- What's in a robot?. -- Embodiment. -- Sensing. -- Action. -- Brains and brawn. -- Autonomy. -- Arms, legs, wheels, tracks, and what really drives them. -- Active vs. passive actuation. -- Types of actuators. -- Motors. -- Direct-current (DC) motors. -- Gearing. -- Servo motors. -- Degrees of freedom. -- Move it!. -- Stability. -- Moving and gaits. -- Wheels and steering. -- Staying on the path vs. getting there. -- Grasping at straws. -- Endeffectors. -- Teleoperation. -- Why is manipulation hard?. -- What's going on?. -- Levels of processing. -- Switch on the light. -- Passive vs. active sensors. -- Switches. -- Light sensors. -- Polarized light. -- Reflective optosensors. -- Reflectance sensors. -- Infra red light. -- Modulation and demodulation of light. -- Break beam sensors. -- Shaft encoders. -- Resistive position sensors. -- Potentiometers. -- Sonars, lasers, and cameras. -- Ultrasonic or sonar sensing. -- Sonar before and beyond robotics. -- Specular reflection. -- Laser sensing. -- Visual sensing. -- Cameras. -- Edge detection. -- Model-based vision. -- Motion vision. -- Stereo vision. -- Texture, shading, contours. -- Biological vision. -- Vision for robots. -- Stay in control. -- Feedback or closed loop control. -- The many faces of error. -- An example of a feedback control robot. -- Types of feedback control. -- Proportional control. -- Derivative control. -- Integral control. -- PD and PID control. -- Feedforward or open loop control. -- The building blocks of control. -- Who needs control architectures?. -- Languages for programming robots. -- And the architectures are ... -- Time. -- Modularity. -- Representation. -- What's on your head?. -- The many ways to make a map. -- What can the robot represent?. -- Costs of representing. -- Think hard, act later. -- What is planning?. -- Costs of planning. -- Don't think, react!. -- Action selection. -- Subsumption architecture. -- Herbert, or how to sequence behaviors through the world. -- Think and act separately, in parallel. -- Dealing with changes in the world/map/task. -- Planning and replanning. -- Avoiding replanning. -- On-line and off-line planning. -- Think the way you act. -- Distributed representation. -- An example: distributed mapping. -- Toto the robot. -- Toto's navigation. -- Toto's landmark detection. -- Toto's mapping behaviors. -- Path planning in Toto's behavior map. -- Toto's map-following. -- Making your robot behave. -- Behavior arbitration: make a choice. -- Behavior fusion: sum it up. -- When the unexpected happens. -- An example: emergent wall-following. -- The whole is greater than the sum of its parts. -- Components of emergence. -- Expect the unexpected. -- Predictability of surprise. -- Good vs. bad emergent behavior. -- Architectures and emergence. -- Going places. -- Localization. -- Search and path planning. -- SLAM. -- Coverage. -- Go, team!. -- Benefits of teamwork. -- Challenges of teamwork. -- Types of groups and teams. -- Communication. -- Kin recognition. -- Getting a team to play together. -- I'm the boss: centralized control. -- Work it out as a team: distributed control. -- Architectures for multi-robot control. -- Pecking orders: hierarchies. -- Things keep getting better. -- Reinforcement learning. -- Supervised learning. -- Learning by imitation/from demonstration. -- Learning and forgetting. -- Where to next?. -- Space robotics. -- Surgical robotics. -- Self-reconfigurable robotics. -- Humanoid robotics. -- Social robotics and human-robot interaction. -- Service, assistive and rehabilitation robotics. -- Educational robotics. -- Ethical implications 1. What is a robot? 2. Where do robots come from? 3. What's in a robot? 4. Arms, legs, wheels, tracks, and really drives them 5. Move it! 6. Grasping at straws 7. What's going on? 8. Switch on ghe light 9. Sonars, lasers, and cameras 10. Stay in control 11. The building bolcks of control 12. What's in your head? 13. Think hard, act later 14. Don't think, react! 15. Think and act separately, in parallel 16. Think the way you act 17. Making your robot behave 18. When the unexpected happens 19. Going places 20. Go, team! 21. Things keep getting better 22. Where to next? Robótica Robots Robótica Intelligent robotics and autonomous agents