Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
This book will be useful for students and engineers building intelligent robots, and researchers migrating to this field. The required source code is included in the book or available online.
Drewniak, J, ZawiślaN, S.: Linear-graph and contour-graph-based models of planetary gears. Journal of Theoretical and ... Graph-Based Modelling in Engineering, 131-140, Mechanism and Machine Science, vol. 42, Springer, Cham (2017). 11.
Cognitive Systems - Information Processing Meets Brain Science . San Diego : Elsevier . Morse , Anthony F. , Viridian L. Benitez , Tony Belpaeme , Angelo Cangelosi , and Linda B. Smith . 2015. " Posture Affects How Robots and Infants ...
This book will be useful for students and engineers building intelligent robots, and researchers migrating to this field. The required source code is included in the book or available online.
Heuristic search techniques Heuristic technique, routinely called heuristic, is any approach to manage basic reasoning, learning, using a presence of mind system that isn't guaranteed as ideal or extraordinary, anyway satisfactory to ...
Fire truck steering is another example for pushing a nonholonomic system and the chained form has been used in the ... In a tracker - trailer system , control and motion planning are based on the kinematic model , and the trailer is ...
Intelligent sensing module The perceptual channels of cognitive robots are not only limited to sound, ... “compared with the traditional machine learning technology, cognitive learning emphasizes the simulation of robot's perception and ...
This work addresses the environmental recognition of autonomous off-road vehicles.
Real-Time Mobile Robot Perception Based on Deep Learning Detection Model Aleksandar Joki ́c( B ), Milica Petrovi ́c, ... MobileNet) is performed and implemented on mobile robot RAICO (Robot with Artificial Intelligence based COgnition).
Machine Learning Methods for High-Level Cognitive Capabilities in Robotics