Cognitive Robotics
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Cognitive Robotics
The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include commonly used cognitive robotics platforms and robot simulators, biomimetic skin as an example of a hardware-based approach, machine-learning methods, and cognitive architecture. Finally, they cover the behavioral and cognitive capabilities of a variety of models, experiments, and applications, looking at issues that range from intrinsic motivation and perception to robot consciousness. Cognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.
Cognitive Robotics
The kimono-clad android robot that recently made its debut as the new greeter at the entrance of Tokyo's Mitsukoshi department store is just one example of the rapid advancements being made in the field of robotics.Cognitive robotics is an approach to creating artificial intelligence in robots by enabling them to learn from and respond to real-worl
Cognitive Robotics
Author: Fouad Sabry
language: en
Publisher: One Billion Knowledgeable
Release Date: 2024-12-09
1: Cognitive robotics: An introduction to how robots can be designed to simulate human cognitive abilities. 2: Cognitive science: Exploring the interdisciplinary science behind cognition and its role in robotics. 3: Subsumption architecture: Understanding how simple behaviors combine for complex actions in robots. 4: Artificial consciousness: Examining the controversial topic of whether machines can achieve consciousness. 5: Symbolic artificial intelligence: Discussing symbolic AI and its applications in cognitive robotics. 6: Cognitive model: Introducing models that mimic human cognitive processes for robotic design. 7: Soar (cognitive architecture): Delving into the Soar architecture and its role in intelligent decisionmaking. 8: Developmental robotics: Exploring how robots can learn from their environment, similar to human development. 9: Cognitive architecture: Understanding the structures that support robotic cognition and problemsolving. 10: Intelligent agent: Defining intelligent agents and their behavior within autonomous systems. 11: Embodied cognitive science: Investigating how cognition is linked to physical embodiment in robotics. 12: Enactivism: Introducing the theory of cognition that emphasizes interaction with the environment. 13: Moravec's paradox: Analyzing the gap between highlevel reasoning and lowlevel physical tasks in robotics. 14: Neurorobotics: Exploring the integration of neural models into robotic systems for advanced cognition. 15: Object Action Complex: Understanding how robots recognize and interact with objects in dynamic environments. 16: LIDA (cognitive architecture): An indepth look at the LIDA model and its applications in cognitive robotics. 17: Situated approach (artificial intelligence): Examining how AI adapts and operates in realworld settings. 18: Embodied cognition: Highlighting how physical presence and sensory feedback impact robotic intelligence. 19: Predictive coding: Understanding how robots use prediction to interpret sensory information and guide actions. 20: Cognitive neuroscience: Exploring how insights from neuroscience influence robotic cognitive architectures. 21: Cognition: A comprehensive review of cognition and its application to the design of intelligent robots.