<p><span>This book is a state of the art resource that robotics researchers and engineers can use to make their robots and autonomous vehicles smarter. Readers will be able to describe metareasoning, select an appropriate metareasoning approach, and synthesize metareasoning policies. </span><span>Me
Metareasoning for Robots. Adapting in Dynamic and Uncertain Environments
✍ Scribed by Jeffrey W. Herrmann
- Publisher
- Springer
- Year
- 2023
- Tongue
- English
- Leaves
- 102
- Series
- Synthesis Lectures on Computer Science
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Preface
Acknowledgements
Contents
About the Author
1 Introduction to Metareasoning
1.1 Key Concepts
1.1.1 Robot
1.1.2 Autonomy
1.1.3 Reasoning
1.1.4 Rationality
1.1.5 Metareasoning
1.2 Benefits of Metareasoning
1.3 Metareasoning Reading List
1.4 Metareasoning Engineering
1.5 Is It Metareasoning or Not?
1.6 Summary
References
2 Metareasoning Design Options
2.1 Controlling Reasoning
2.2 Metareasoning Modes
2.3 Policy Options
2.3.1 Optimization
2.3.2 Deliberation Scheduling
2.3.3 Heuristics
2.3.4 Learning
2.4 Structures for Multi-robot Systems
2.5 Summary
References
3 Implementing Metareasoning
3.1 Autonomy Software Architectures
3.2 Locating Metareasoning
3.3 Case Study
3.4 Summary
References
4 Synthesizing Metareasoning Policies
4.1 Synthesis Approach
4.1.1 Definition
4.1.2 Characterization
4.1.3 Synthesis
4.2 Case Studies
4.2.1 Motion Planning and Path Optimization
4.2.2 Stopping Anytime Motion Planning
4.2.3 Selecting Collaboration Algorithms
4.2.4 Simultaneous Localization and Mapping
4.2.5 Global and Local Path Planning
4.2.6 Defending a Perimeter
4.3 Discussion
References
5 Testing Metareasoning Policies
5.1 Performance Metrics
5.2 Test Planning
5.3 Visualizing Metareasoning
5.4 Data Analysis
5.5 Assurance Cases
5.6 Replicability
5.7 Summary
References
Index
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