
AI Robotics
Description
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The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Key Features
Explores the research frontiers and advancements leveraged by integrating AI with robotics
Highlights the unique challenges faced in robot vision and speech recognition vis-a-vis computer vision and standard speech processing
Provides a state-of-the-art overview of emotional recognition, task and motion planning, and coordinated functioning of robots in multi-robot systems
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Content
2. AI-Driven Robotics, Robophysics, and Roboethics
3. Robotic Sensing and Actuation Techniques
4. Talking and Listening Robots: Speech Synthesis, Recognition, and Understanding
5. Robots Able to See: General Aspects of Robot Vision
6. Robot Vision: Object Detection by Robots
7. Robot Vision: Exclusive Challenges Faced by Robots
8. Emotionally Intelligent Robots: Bayesian Inference and Fuzzy Logic
9. Emotionally Intelligent Robots: Unlocking More Opportunities
10. Robot Task and Motion Planning
11. Autonomous Robots: SLAM, APF, and PID Algorithms
12. Autonomous Robots: Broadening the Perspective
13. Robotic Swarms: Preliminaries
14. Robotic Swarms: Exploring Additional Avenues and Vistas
15. Robotic Swarms: Expanding Horizons
Appendix: Interactive Mini Glossary of AI Algorithms and Related Terms for Robotics in Question-Answer Format
Index
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