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| Material Type: | Internet resource |
|---|---|
| Document Type: | Book, Internet Resource |
| All Authors / Contributors: |
Maja J Matarić |
| ISBN: | 9780262633543 026263354X |
| OCLC Number: | 79002109 |
| Description: | xvii, 306 p. : ill. ; 23 cm. |
| Contents: | Preface -- What is a robot? -- Where do robots come from?. Control theory ; Cybernetics ; 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 ; 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 ; Resistive position sensors -- Sonars, lasers, and cameras. Ultrasonic or sonar sensing ; Laser sensing ; Visual sensing -- Stay in control. Feedback or closed loop control ; The many faces of error ; An example of a feedback control robot ; Types of feedback control ; Feedforward or open loop control -- The building blocks of control. Who needs control architectures? ; Languages for programming robots ; And the architectures are- -- 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 -- 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 ; Getting a team to play together ; Architectures for multi-robot control -- 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. |
| Series Title: | Intelligent robotics and autonomous agents. |
| Responsibility: | Maja J. Matarić ; illustrations by Nathan Koenig. |
| More information: |
Abstract:
Reviews
Publisher Synopsis
"As with electronics and then computers, the world is about to be transformed yet again by the age of robotics. Every age needs its technology to be adopted by smart kids and dedicated hobbyists to provide the tide of people who will carry out the transformation. The Robotics Primer is a bridge between academia and everyperson, and its readers will become the crucibles of the new age." --Rodney Brooks, Director, MIT Computer Science and Artificial Intelligence Lab "Dr. Mataric has made a complex subject accessible to students of all ages. Students can learn in conjunction with hands-on experience using the robot workbook available online. This primer and workbook will give the student a first glimpse at the incredible possibilities of robotics." --Helen Greiner, Chairman and Co-founder of iRobot "This book is a very enthusiastic introduction to robotics. It is an excellent textbook for anyone designing or taking an undergraduate introductory course, and great reading for those interested in learning about robots." --Daniela Rus, Department of Electrical Engineering & Computer Science, MIT Read more...
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