LNAI 2801 Artificial Metabolism Towards True Energetic Autonomy in Artificial Life 1st Edition by Ioannis Ieropoulos, Chris Melhuish, John Greenman – Ebook PDF Instant Download/Delivery. 9783540200574 ,354020057X
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ISBN 10: 354020057X
ISBN 13: 9783540200574
Author: Ioannis Ieropoulos, Chris Melhuish, John Greenman
This paper reports on the proof-of-concept work to produce an energetically autonomous robot employing an artificial metabolic system using Microbial Fuel Cells. The present study compared the effects of changing a number of critical parameters, which control the fuel cell system, as a means to improve its overall performance. We demonstrate that the development of a fuel cell as an artificial metabolic system is feasible and it can provide sufficient power for a mobile robot platform to execute photo tactic ‘pulsed’ behaviour. The robot is code-named EcoBot I and it is the first robot in the world to be directly and entirely powered from bacterial reducing power.
LNAI 2801 Artificial Metabolism Towards True Energetic Autonomy in Artificial Life 1st Edition Table of contents:
Chapter 1: Introduction to Artificial Life and Energetic Autonomy
- Defining Artificial Life (AL) and Its Applications
- The Importance of Energetic Autonomy in AL Systems
- Current Challenges in Achieving Autonomy for Artificial Organisms
- Overview of Artificial Metabolism as a Concept
Chapter 2: The Biological Metabolism and Its Role in Life
- Basic Principles of Biological Metabolism
- Energy Production, Storage, and Utilization in Biological Systems
- How Metabolism Supports Life: A Systems Approach
- Lessons from Biology for Artificial Metabolism Design
Chapter 3: From Artificial Life to Artificial Metabolism
- The Relationship Between Artificial Life and Metabolism
- Defining Artificial Metabolism: Challenges and Goals
- The Role of Energy Conversion in AL Systems
- Early Attempts and Models of Artificial Metabolism in AL
Chapter 4: Components of Artificial Metabolism
- Key Components in Artificial Metabolism Systems
- Energy Harvesting (e.g., Solar, Chemical)
- Energy Storage Mechanisms (e.g., Capacitors, Batteries)
- Energy Utilization in Performing Work (e.g., Actuation, Sensing)
- Energy Conversion Systems: From Chemical to Electrical
- Simulating Metabolic Pathways in Artificial Life
Chapter 5: Case Studies of Artificial Metabolism in Practice
- Case Study 1: Energy Harvesting through Microbial Fuel Cells
- Case Study 2: Artificial Metabolism in Robotic Systems
- Case Study 3: Integrating Artificial Metabolism with Autonomous Robots
- The Role of Artificial Metabolism in Extending Robotic Lifespan and Efficiency
Chapter 6: Energy Flow and Efficiency in Artificial Metabolism Systems
- Optimizing Energy Flow in AL Systems
- Achieving Energy Efficiency: From Harvesting to Utilization
- The Importance of Self-Regulation and Feedback Loops
- Quantifying Energy Usage and System Performance in AL Organisms
Chapter 7: Achieving Energetic Autonomy in Artificial Life Systems
- Defining True Energetic Autonomy in Artificial Life
- Mechanisms for Achieving Autonomous Energy Supply
- Integrating Artificial Metabolism with Cognitive and Behavioral Processes
- Challenges in Maintaining Energetic Autonomy Over Time
Chapter 8: Artificial Metabolism and Sustainable Robotics
- Sustainable Energy Systems in Robotic Lifeforms
- The Intersection of Artificial Metabolism and Environmental Sustainability
- Energy Harvesting for Long-Term Robotics Missions (e.g., Space Exploration)
- Design Considerations for Eco-friendly AL Systems
Chapter 9: Future Directions in Artificial Metabolism Research
- Emerging Trends in Artificial Metabolism and Life Systems
- Advances in Bio-inspired Energy Systems
- Interdisciplinary Approaches to Artificial Metabolism: Biology, Robotics, and Engineering
- Challenges and Opportunities in Achieving Full Energetic Autonomy
Chapter 10: Conclusion
- Summary of Key Findings and Contributions
- The Path Toward Truly Autonomous Artificial Life
- The Future of Artificial Metabolism and Its Potential Impact on AL Systems
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