A framework for the development of intelligent mechanical systems
Wallace M. Bessa

TL;DR
This paper proposes a comprehensive framework for developing intelligent mechanical systems that can adapt to environmental changes and learn from experience, enhancing their autonomy and functionality.
Contribution
It introduces a novel framework emphasizing adaptive control and learning capabilities for intelligent mechanical systems.
Findings
Framework enables systems to adapt to environmental changes
Incorporates learning from experience into control schemes
Enhances autonomy of mechanical systems
Abstract
From autonomous vacuum cleaners to self-driving cars, intelligent mechanical systems are becoming an intrinsic part of our daily lives. In this work, a framework for the development of intelligent mechanical systems is presented.Considering that in this scenario the adopted control approach plays an essential role, I show that the proposed scheme should be able to not only adapt itself to changes in the environment, but also learn from its own experience.
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Taxonomy
TopicsRobotic Path Planning Algorithms · Advanced Control Systems Optimization · Autonomous Vehicle Technology and Safety
