"Cognitive Robotics and Adaptive Behaviors" ed. by Maki K. Habib

This volume is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures.

The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities.

Contents
1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges
2. Learning Robotic Ultrasound Skills from Human Demonstrations
3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration
4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building
5. A Robotics-Based Machine Learning Approach for Fall Detection of People
6. Machine Learning and Cognitive Robotics: Opportunities and Challenges


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